PRE2020 1 Group1: Difference between revisions

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===Results===
===Results===
(Results of varying the parameters of the model and how to achieve desired false positive and false negative rate)
(Results of varying the parameters of the Netlogo model and how to achieve desired false positive and false negative rate)





Revision as of 18:30, 28 September 2020

Group members

Name Student ID Department
Davide Fabbro 1255401 Electrical Engineering
Lieke Nijhuis 0943276 Innovation Sciences
Ikira Wortel 1334336 Electrical Engineering
Wout Opdam 1241084 Mechanical Engineering

Problem statement and objectives

COVID-19 is a disease that as of 5 september 2020 has 26.171.112 confirmed cases and 865.154 confirmed deaths worldwide. This pandemic has caused many countries to go into lockdown, and strict measurements are being taken to lessen the spread of the disease. The virus easily spreads itself in crowds, and this is where the idea of a COVID-19 symptom detection system in choke points and crowded places was born. In this study we will focus on the Heuvel Galerie Eindhoven in particular.

The objectives of this system are:

- Detection of COVID-19 symptoms in a crowd

- Suggesting screened people to take a conventional test (swab test) and possibly denying them access

- Applying a form of social control in order to make people follow the rules better

- Creating a general feeling of awareness and safety

The project

This project is part of the course 0LAUK0 Robots Everywhere. The project concerns a COVID-19 symptom detection system for choke points and crowded places.

Approach

A literature study will be performed on the feasibility of a COVID-19 symptom detection system for choke points and crowded places. This literature study will include an investigation of possible privacy issues that can arise when such a system is deployed in public places.

A design for the hardware of the system will be made and a pseudocode will be written for the software behind the system. The system will be designed as to avoid the possible identified privacy issues. The requirements for the design will be partly based on the results of questionnaires conducted among shopping people and shop owners at the Heuvel Galerie. The effectiveness of the design will be evaluated through simulation.

Also, a cost-benefit analysis will be performed to get a view on the financial feasibility of the system.

Deliverables

The deliverables for this project include:

  • Literature/feasability study of a COVID-19 symptom detection system for choke points and crowded places, including a privacy-issue study.
  • Design of the hardware of the system, including posters.
  • Map of the Heuvel Galerie with installment locations.
  • Simulation of the effect of the system on a flow of people.
  • Pseudocode of the software of the system.
  • Cost-benefit analysis.
  • A wiki page.
  • A presentation video.

Planning and milestones

In the figure below, the project planning is given. The left most column contains the milestones for the project. The column to the right of the first column contains all tasks that need to be completed in order to achieve that milestone.

The planning for the project.

Here, an overview will be given of the tasks that need to be completed per week (corresponding to the figure above), and who is responsible for them:

Week 1

Task Person Completed
Brainstorm about subject Everyone Yes
Create layout for wiki page Wout Yes
Make planning for project Wout Yes
Write problem statement and objectives Lieke Yes
Describe users Ikira Yes
Describe user needs Wout Yes
Read and summarize articles for State of the Art Everyone Yes
Write State of the Art Davide Yes

Week 2

Task Person Completed
Describe psychological effect of visible detection system Lieke Yes
Create layout for entire wiki page Wout Yes
Update planning of project Wout Yes
Redefine USE'ers Ikira Yes
Redefine USE'ers needs Wout Yes
Describe possible use case (Heuvel Galerie) Wout Yes
Research possible privacy issues and describe on wiki Ikira Yes
Describe what happens after test (deny acces?, regulations?) Lieke Yes
Describe different detection options, what we chose and why, why no 1.5m detection Davide, Lieke
Re-write (in wiki) project focuss only covid symptoms Davide Yes
Read/investigate similar systems and describe on wiki Davide Only Thrm. Img

Week 3

Task Person Completed
Redefine users needs based on questionaire and formulate RPC's Everyone
Make sketches of detection system Wout Yes
Make sketches of measurement station Wout Yes
Checkpoint description (research conventional checkpoints) and sensors placement Davide Chekpnt
Research possible privacy issues and describe on wiki Ikira Yes
Describe psychological effect of visible detection system Lieke
Questionnaire for mall- and shop owners of Heuvel Galerie Lieke Yes
Questionnaire for shopping people in Heuvel Galerie Ikira, Lieke Yes
Design posters Lieke Yes
Study on coughing movement Davide No
Read/investigate similar systems and describe on wiki Davide Yes
Matlab simulation for throughput of system Ikira
Netlogo simulation for effect on people flow Wout Yes
Research legal side of health checks at entrance Wout Yes


Week 4

Task Person Completed
Checkpoint description and sensors placement and type of microphone Davide
Perform cost-benefit analysis and describe on wiki Lieke
Describe psychological effect of visible detection system Lieke Yes
Write pseudocode for notifying medical staff of person with symptoms Ikira Yes
Design posters Lieke Yes
Discuss required software functionalities Everyone Yes
Write pseudocode for detection system Ikira Yes
Matlab simulation for throughput of system Ikira
Netlogo simulation for effect on people flow Wout Yes
Make sketches of detection system Wout Yes
Make sketches of measurement station Wout Yes
Add results from questionnaire to wiki Ikira Yes
Questionnaire for mall- and shop owners at Heuvel Galerie Lieke Yes
Discuss and finalize sketches Everyone, Wout Yes
Make CAD design of detection system Wout Yes
Make CAD design of measurement station Wout Yes

Week 5

Task Person Completed
Perform cost-benefit analysis and describe on wiki Lieke
Write pseudocode for measurement station Ikira
Evaluate effectiveness of system via simulations Wout, Ikira
Make CAD design for Heuvel Galerie entrance Wout
Finalize CAD designs (adjustments, coloring etc.) Wout
Statistical analysis on questionnaire data Lieke
Count number of visitors at Heuvel Galerie
Interview people at villages Lieke
Research concrete numbers for RPC's and simulations Everyone
Put pseudocodes on wiki with description and user interface screenshot examples Ikira


Week 6

Task Person Completed
Conclude on feasability and describe on wiki Ikira
Describe CAD designs on wiki Wout
Discuss what should be in video Everyone
Make a script for video Lieke
Make slides and visuals for video Lieke
Write conclusion Davide
Write discussion
Write recommendation
Check wiki completeness (titel, introduction etc.) Everyone
Final design evaluation questionnaire at Heuvel Galerie
Evaluate effectiveness of system via simulations Wout, Ikira


Week 7

Task Person Completed
Record video Lieke
Describe peer review Ikira
Finalize layout of wiki (title size etc.) Everyone
Final check: spelling, citation style etc. Everyone


Week 8

Task Person Completed
Hand everything in Everyone

Users

In this section the use case for the detection system will be given and the users and their needs are identified.

Use case: Heuvel Galerie

In the projected use case for the COVID-19 symptom detection system, the system is deployed at the Heuvel Galerie (official new name: Heuvel Eindhoven). The Heuvel Galerie is a big indoor shoppingcenter located in the center of Eindhoven.

Heuvel Galerie, western entrance [1].

The Heuvel Galerie has three floors, four entrances and it's own underground parking facility. The Heuvel Galerie is a big shoppingcenter: it has over 80 stores and houses the Muziekgebouw Eindhoven and a Holland Casino. Because it houses many stores and facilities, it draws a significant number of visitors. In 2001 the Heuvel Galerie got an average of 200.000 weekly visitors [2]. Because of the corona situation, the shoppingcenter has taken measurements like putting up hand-disinfection stations and creating walking routes. This enables the shoppingcenter to remain open and draw visitors. The following table (in Dutch) shows a recent (as of 7-9-2020) timetable with the relative amount of visitors. It can be seen that despite the COVID-19 situation, there are still time-slots in the weekend which can be defined as 'busy'.

Table showing recent (as of 7-9-2020) relative amount of visitors. Green=quiet, yellow=little bit busier, red=busy. [3].

Due to the high amount of visitors, and the fact that the Heuvel Galerie is a closed, indoor facility with clearly defined entrances it could be a potential safety hazard. On busy days these entrances can become choke points and the hallways can become crowded.

The Heuvel Galerie could benefit from a system of the type which is developed in this project. Due to the five entrances (four street-level entrances and the parking lot entrance), the flow of people entering and leaving can be precisely monitored. The COVID-19 symptom detection system will be placed at all entrances. This way, the entire flow of people entering the Heuvel Galerie will be checked for COVID-19 symptoms. If a person is identified with possible COVID-19 symptoms, they can for example be asked to not acces the Heuvel Galerie and do a real test at a GGD testing location or be denied acces completely. The exact steps taken will be discussed further on in this wiki. This will create a more safe and pleasant shopping experience for the shoppers and a more safe working environment for the owners and personnel of the shops and restaurants.

Who are the users

User

The users of the robot are the people going in to the Heuvel Galerie, the medical staff that check for COVID-19 symptoms, the shop employees and the law enforcement.

The people going in to the Heuvel Galerie will be checked to see if they are coughing, if they are not, then there is no problem. However if they are coughing they could then be picked out by the medical staff and get a closer checkup. When the people are checked and it is seen that they do not have COVID-19 they would be allowed to enter. If they however do test positive, the law enforcement could keep these people out and with this prevent them from spreading the virus inside. For the shop-employees this is also very important since they come into contact with a lot of people. So having people screened at the entrance will lower the chance of them becoming sick and then also spreading it further.

Society

The main stakeholders for the society would be the government, the uninfected and infected people going into the Heuvel Galerie and the shop employees.

The local government is a stakeholder since they could spend money to place the device and are responsible for the local regulations around COVID-19.

The infected people are a stakeholder since they can be informed about having COVID-19. Which could change their behavior and limit the spread of COVID-19.

The uninfected people are a stakeholder since when there is a detection device for COVID-19, it is expected that less people inside will be walking around infected with COVID-19, which results in a lower spread. For this reason the shop employees are also a stakeholder here, their working environment becomes a lot safer.

Enterprise

Since the robot should be developed, another stakeholder would be the companies developing the product. The shops are also effected by placing the device at the entrance of the Heuvel Galerie, since this might prevent potential customers from being able to enter. On the other hand, this policy could also create potential customers for the shop since people might feel more safe shopping there compared to other places. The owner of the Heuvel Galerie is also a stakeholder since for them it is important to keep the shops happy so he will keep his revenue.


Questionnaire

An initial questionnaire was conducted among shoppers and shop owners at the Heuvel Galerie. Here the results of the questionnaire will be discussed. Some results of this questionnaire will be incorporated in the design of the system.

Every USER type got a different list of questions.

The questions for the shops in the Heuvelgalerie were asked in Dutch, and sent in a mail to seventeen shops in the Heuvelgalerie, and the company that owns the Heuvelgalerie. After a short general explanation of the system the following questions were asked.

1. In het geval van een detector die symptomen in een groep detecteert, waardoor mensen door kunnen lopen zonder fysieke hinder van het systeem te ondervinden, hoeveel impact verwacht u dat dit systeem heeft op het aantal shoppers in de Heuvelgalerie?

2. In het geval van een detector die personen individueel controleert, hoeveel impact verwacht u dat dit systeem heeft op het aantal shoppers in de Heuvelgalerie?

3. Zouden u en/of uw personeel zich veiliger voelen in het geval van de aanwezigheid van een dergelijk systeem? (Ja/ nee)

4. Hoeveel inbreuk zou dit systeem volgens u inbreuk maken op uw privacy?

5. Stel dat een dergelijk systeem geïnstalleerd zou worden, wat zouden vereisten zijn die u graag zou willen zien?

Within a week of sending the e-mails not a single response was returned. Because of this the questions were asked in person at the Heuvelgalerie a week later. Five people who work in different shops in the Heuvelgalerie were interviewed.

Interview 1: No impact on the number of shoppers in the Heuvelgalerie is expected if the system is a mass detection system, if people are checked individually probably less people will come because they see it as too much of a hassle. They would feel safer if a detection system would be in place, because especially if it is busy people don't really keep their distance, and they are not really careful, especially because their target group is relatively young. If the system does not ask for personal information they would not feel like it invades their privacy a lot. They don't have other specific requirements for the system.

Interview 2: If the system is a mass detection system the number of shoppers will probably increase, because older people would feel safer going shopping. If people are being checked individually though the threshold for going shopping will be higher because people might have to wait, and when adding that to the probable increase of older people, the overall number of shoppers will probably stay approximately the same. They would feel a bit safer if such a system were in place, and they would feel that their privacy was invaded. The most important requirements for such a system are reliablity and safety.

Interview 3: If the system is a mass detection system the number of shoppers will probably increase, but if it is an individual detection system it is a bit debatable. According to them, statistics of their shop show that people are more likely to shop in shops in small villages compared to cities right now and in their experience this happens because at-risk people don't go to the city anymore because of a higher risk of infection. A detection system being in place might decrease the perceived risk of going to the city. On the other hand, people also don't want to wait in a queue before entering a shopping mall. They would feel safer with such a detection system being in place, and would not feel like their privacy is invaded. An important requirement for them is discretion of the system, if a person is called out by the system, things should happen quitely, don't let sirens go of or something like that.

Interview 4: If the system is a mass detection system the number of people will probably decrease, and if it is an individual detection system it will probably decrease even more. They would not particularly feel safer with a detection system in place, and would not feel like their privacy is invaded. Requirements for them would be that the system stays humane, people have to be really well informed, people do not read or listen well, which makes it even more important that they know of the presence and consequences of the detection system. If this is not done well it might even result in safety issues for the medical personnel if people react aggressively when they are picked out by the detection system.

Interview 5: If the system is a mass detection system the number of shoppers would probably stay approximately the same, because some people who think it is too busy right now might come because they feel it is safer, although some people might stay away because they do not like it. If the system is an individual detection system, people would probably feel more secure in the Heuvelgalerie, but more people would stay away because they feel the testing is too much of a hassle. They would feel more secure with a system in place, and would not feel like it invades their privacy. No specific requirements were given.


The interviews with people shopping in the Heuvelgalerie were done in a different manner, 30 people in total were interviewed, there 15 people were interviewed for the detection option with individual screening, and the other 15 people were interviewed for the detection option with mass screening. Both interviews were available in Dutch and English, and the questions were asked vocally and the answers were written down by the interviewers because of safety concerns regarding COVID-19.

The first type of interview has the following intro:

Het apparaat detecteert of iemand symptomen van COVID-19 vertoont, dit wordt gedaan door individueel naar het apparaat te gaan. Dit kan er voor zorgen dat er rijen ontstaan om naar binnen te kunnen tijdens drukke periodes, het hoeft echter minder gegevens te verzamelen dan een massa detectie systeem. Als de persoon symptomen vertoont worden ze gevraagd om naar een apart meetstation te gaan voor verdere metingen. Als de resultaten positief blijven kan hij/zij worden verzocht om de Heuvel Galerie niet te betreden om de verspreiding van corona te voorkomen.

(The device detects if someone has any symptoms of COVID-19, this is done by individually going to the device. This could cause rows to be formed to enter during bussy times, however needs less data collection to work than a mass detection system. If the person displays any symptoms they will be requested to go to a measurement room for further measurements. If the measurement remains positive, he/she can be requested to not enter the Heuvel Galerie to prevent the spread of corona.)

And the second type of interview has the following intro:

Het apparaat detecteert of iemand symptomen van COVID-19 vertoont, dit wordt gedaan door een massa detectie systeem. Dit zorgt er voor dat er geen rijen ontstaan om de Heuvel Galerie in te komen, er is wel meer detectie apperatuur nodig om dit werkende te krijgen. Als de persoon symptomen vertoont worden ze gevraagd om naar een apart meetstation te gaan voor verdere metingen dan als de metingen individueel gedaan zouden worden. Als de resultaten positief blijven kan hij/zij worden verzocht om de Heuvel Galerie niet the betreden om de verspreiding van corona te voorkomen.

(The device detects if someone has any symptoms of COVID-19, this is by a mass detection system. This ensures that there are no queues to enter the Heuvel Galerie, However compared to individual checks more detection tools are necessary. If the person displays any symptoms they will be requested to go to a measurement room for further measurements. If the measurement remains positive, he/she can be requested to not enter the Heuvel Galerie to prevent the spread of corona.)

The questions were similar for both groups. 1. Zou u in de Heuvel Galerie gaan winkelen als het detectie apparaat er staat? (Would you go shopping in the Heuvel Galerie if the detection device is there?) (yes/maybe/no) 2. Nadat het detectie apparaat u heeft uitgekozen, zou u accepteren om naar het meetstation te gaan voor een hoest en temperatuur test? (After being picked out by the detection device, would you accept being taken to the measurement station for a temperature and cough test?) (yes/maybe/no) 3. Zou u zich veiliger voelen als dit detectie apparaat er zou staan? (Would you feel safer shopping in the Heuvel Galerie with this detection system in place?) (on a scale of 1 to 5, where 1 means no, and 5 means much safer) 4. Hoe erg vind u dat dit systeem inbreuk op uw privacy maakt? (How much do you feel this system invades your privacy?) (on a scale of 1 to 5 where 1 means not at all, and 5 means very much)


G1Q1.png

From the answers of question 2 it can be seen that people would like to enter smoothly.


G1Q2.png

From the answers of question 2 it can be seen that most people do want to be certain about having COVID-19 if they were to be picked out by the system.

G1Q3.png

From the answers of question 3 it can be seen that people might feel safer with the mass detection system compared to the individual system, this is however not conclusive due to the low amount of answers.


G1Q4.png

From the answers of question 4 it can be seen that most people do not care much about the privacy issues around the device.

What are the users needs

Here the needs of the above identified users regarding the COVID-19 symptom detection system will be given. These requirements are partly based on a questionnaire conducted among shoppers and shop owners at the Heuvel Galerie.

User

People entering Heuvel Galerie

The requirements for uninfected shoppers are:

  • Hindrance: Shoppers come to the Heuvel Galerie to have a fun day. The system should not cause excessive hindrance.
  • Proper detection: Proper detection ensures possible COVID-19 carriers are identified so that others may shop in safety.
  • Privacy: The system must comply with all privacy regulations. From the questionnaire it followed that people prefer a crowd scanning system over a system in which they have to stand in a queue.


The requirements for infected shoppers are:

  • Proper detection: The system should minimize the number of false positives and false negatives. People with good intentions that are unaware they carry the virus should be notified.
  • Privacy: The system must be discrete since it can be embarrassing for people to be picked out for a COVID-19 test and it can cause unnecessary panic at the location. The privacy of the people being tested should be guaranteed such that for example bystanders cannot obtain the identity of the person being tested. Therefore, people have indicated to prefer a crowd scanning system over a queueing system.


Shop owners and employees

The requirements for the shop owners and employees are:

  • Proper detection: Shop personnel will come into contact with a lot of different people while doing their work. Proper detection will benefit the safety of the personnel, for which the shop owner is responsible.
  • Discretion: The system should be not too obvious when picking people out to ensure people do not become embarrassed
  • Hindrance: If there is too much hindrance from the system, less people will come shopping, and the profits of the business will decrease
  • Information: The presence of the system should be clearly communicated to everyone in and surrounding the Heuvelgalerie


Medical staff

The requirements for the medical staff are:

  • Ease of use: The system must be easy to use for the medical personnel. No special extra training should be required, a user manual should provide enough information to operate the system.
  • Safe to use: While operating the system and working with people that possibly carry the virus, the medical personnel should not be exposed to too much risk of catching the virus themselves.
  • Autonomous: The system should be able to detect coughing people autonomously, because the medical staff can then fully focus on their own tasks


Law enforcement

The requirements for the law enforcement are:

  • Proper detection: A proper detection ensures a safer work environment for the security guards of the Heuvel Galerie.
  • Hindrance: The system should not be cause of any dangerous- or other unwanted situations requiring the security guard’s attention and thus creating more work for them.

Society

Local government

The requirements for the local government are:

  • Increasing attractiveness: The system should create a safe shopping environment, making it more attractive for people from outside Eindhoven to go to Eindhoven and shop at the Heuvel Galerie, and possibly other stores/restaurants in the city.


People entering Heuvel Galerie

The requirements for the people entering the Heuvel Galerie as seen from a society standpoint are the same as seen from a user standpoint, except that when seen from the society standpoint, the requirement of proper detection becomes extra important because this will create safer shopping environments in general and could help reduce the overall number of infected people.


Shop owners and employees

The requirements for shop owners and employees as seen from a society standpoint are the same as seen from a user standpoint, except now again the proper detection requirement is extra important because this can lead to a healthier population in general meaning more potential customers.

Enterprise

Shop owners

The requirement for shop owners from an enterprise standpoint are:

  • Hindrance: The system should not cause excessive hindrance, resulting in less potential customers visiting the Heuvel Galerie. From the questionnaire it followed that shop owners prefer a discrete system, since a system with for example a siren or alarm might scare customers away.
  • Increasing attractiveness: The system should make it more attractive to visit the location compared to the situation in which the system was not in place or compared to other shopping locations in Eindhoven were no such system is installed. From the questionnaire it followed that shop owners think a mass detection system (no queue) is the most attractive for the customers.
  • Visibility: From the questionnaire, it followed that shop owners would like that shoppers are explicitly made aware of the presence of such a system, since not many people listen or read well. This is to prevent unwanted situations in which people might for example become aggressive when they are approached by medical personnel.


Company developing the product

The requirements for the company developing the product are:

  • Attractive product: The product has to be attractively priced in order to sell more units and make a profit. Therefore, it should not be too expensive to manufacture. It also needs to have decent looks to make it marketable.
  • Comply with regulations: The manufacturer does not want to get into trouble for selling this product. It must comply with all regulations.


Owners of Heuvel Galerie

The requirements for the owners of the Heuvel Galerie are:

  • Cost: The system should not be too costly to purchase and to operate.
  • Comply with regulations: The owners of the Heuvel Galerie will the party operating the system via their employees. Therefore it is important that the system complies with all regulations such that the owners do not get into legal trouble.


As can be seen, for multiple stakeholders it is important that the product complies with regulations (health, privacy etc.) and that the system properly detects people with COVID-19 symptoms. This is one of the most important requirements. The above-mentioned user requirements will be converted to more concrete requirements for the design of the system in the RPC’s in the Design section.

State of the art

Here, the State of the Art is given: PRE2020 Group 1 State of the Art.[4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] [28][29][30][31] It is divided into several topics. Each topic starts with a small summary of the State of the Art and after that the summarized articles concerning that topic are given.

Similar systems

Here, an overview of similar COVID-19 (or other disease) symptom detection systems are given.

Cough detection Camera

Developed by the Center for Noise Control at Korea Advanced Institute of Science and Technology (KAIST). The system is a combination of an array of microphones and a video camera. The system uses a deep learning algorithm to distinguish cough from other sounds. The algorithm can recognize the sound of coughing even with some level of background noise. The array of microphones detects the position of the cough and maps it to the video feed of the camera. To detect the position of the sound source Time Difference Of Arrival is probably used, but not specified. After detection the subject coughing is tracked, and the number of coughs is counted. This system could be useful for analytical purposes. As a tool for a statistical study to measure the number of people coughing and how many times they cough. Also, it could be used as a monitoring device in hospitals to help for diagnosis. No scientific article or report of the project could be found online. Therefore, no quantitative data nor specifications of the device could be found (e.g. max sensing distance, field of view, resolution, Signal to Noise Ratio, etc.)[37].

Social Distancing Software

Cloud based AI which takes existing camera feed and alerts on social distancing, mask detection, gun recognition/active shooter. The system has various features such as:

  • Social distancing: calculates distances between humans and mask detection.
  • Threat detection: weapon identification, face recognition.
  • Smart Building: Building management: People flow, loitering detection.

The system is said to be budget friendly because only a software license is bought. The system takes all the input from already existing infrastructure. The system does not require to build extra expensive infrastructure for processing or for storing data since it is cloud based. Unfortunately, this design feature raises some issues. All the sensitive data is processed, stored, and shared by and with a third party which may arise security concerns. For example: Where is the data processed? Is the data stored on the cloud even if the client denies? The system boasts it is privacy conscious and bias free. Further research should be done if interested[38].

Temperature Screening

Thermography is the process of generating thermal images. A thermal camera detects infrared (IR) radiation. The main components of thermal cameras are the lenses, the thermal sensor and processing electronics to create an image. The infrared radiation passes through the lenses, excites the sensor which converts the irradiated energy into electrical signals, which are then processed to create an image. To perform accurate measurement a combination of external factors must be considered. Ambient temperature must be controlled ideally between 20-24°C and humidity must be between 10-50%. Strong air currents should be avoided and eliminated. The camera should be placed in a shaded area, away from direct sunlight. The background of the filmed surface should be non-reflective to infrared thermal radiation. No external radiant heat sources should be placed near the measured object[39].

After the external factors, the specifications of the measuring device are chosen based on the features of the measured object. For example, the dimensions of the measured object, the distance from the object, the emissivity of the object, and the required sensitivity. Accurately measuring the core body temperature of the human body with a thermal camera is a quite complex task. The optimal point to measure the core temperature of the human body is in the eye. More specifically the inner canthus which is the inner point where both eyelids meet, near the nasolacrimal ducts. The area of the inner canthus is around 5x5mm2. To properly measure this area 3 pixels per 5mm are required. Therefore, a resolution of 1.6mm/pixel is required. Depending on the camera’s resolution a determined area can be filmed to produce accurate measurements. For example, with a 320x240 pixels camera an area of 533x400mm can be measured, while with a 160x120 pixel only an area of 266x200mm can be filmed.

The accuracy of the thermal camera is also very important. The normal body temperature, ear measurement, of human males lies between 35.5–37.7 °C while for female it is between 35.7–37.5 °C [32]. The WHO definition of fever is a core body temperature of 37.7 °C or higher [40]. Therefore, to asses if a person has a fever a high accuracy is required, ideally of ±0.1 °C. Usually thermal cameras have an accuracy of ±2 °C. Using thermal cameras with an accuracy of ±2 °C would be useless. With the use of additional tools, the accuracy can be increased. For example, a reference heat signature called blackbody used to continuously calibrate the camera. Or additional processing software. The most important specifications of thermal cameras are explained. A comparison of the most popular temperature screening systems and thermal cameras is shown in table XXX.

  • Pixel resolution: Pixel resolution determines the amount of information in the image. Pixel resolution in thermal cameras is very small compared to optical cameras. Since infrared radiation has longer wave lengths, than visible light, the sensor must be larger. Additionally, to have a larger pixel resolution the sensor should be much larger. Which would dramatically increase the size of the camera. Pixel resolution determines the resolution of the image and the accuracy of the temperature measurement. To have a proper measurement the correct pixel resolution must chosen depending on the distance and the dimensions of the measured object. A camera with a higher resolution can be placed at a larger distance.
  • Thermal accuracy: Thermal accuracy is the margin of error of each measurement. In average the accuracy of thermal camera is ±2 °C on the whole measurable range. With external calibration tools like a reference heat source (i.e. black body) higher accuracy can be achieved. For high quality measurements the black body should be placed on the same plane as the measured object.
  • Thermal sensitivity NETD: Noise Equivalent Temperature Difference (NETD) is the ability of the camera to distinguish differences in thermal radiation. NETD is also called thermal contrast. A camera with smaller NETD has a higher thermal contrast than a camera with a higher NETD.
  • Field of view: Field of view is the angle to which the camera is sensible. By fixing the required resolution the distance from the measuring object depends on the field of view. With a larger field of view the object must be placed closer. While with a smaller, more focused, field of view the object can be placed further, without losing any measurement accuracy. The field of view depends on the lens of the camera. Some cameras have interchangeable lenses.
  • Scan time: The scan time is the amount of time taken by the system to screen a person. Not all systems have specified their scan time. Scan time is dependent on several factors, the sensor’s time constant to react to temperature change, the system’s processing time and the correct and the system’s screening software. In non-ideal conditions scan time may take more time especially with human errors.
Picture DS-2TP21B.png E86-est-2v-i4.png T560-est-3qtrbcklft-i8.png A700-est-3qtrfrtlft.png A320.png DS-2TD2617B 36B.png Ck350-f.jpg Sentry-MK4-sq.png Seek-scan-system orig.jpg
Model HIKVISION

DS-2TP21B

FLIR

E54/86 EST

FLIR

T540/60 EST

FLIR

A500/700 EST

FLIR

A320

HIKVISION

DS-2TD2617B/36B

Satir

CK350-F

Omnisense

Sentry MK4

Seek Thermal

Seek Scan

IR Resolution

(HxV)

160×120px 384×288 /

640×480px

320×240 /

464×348px

464×348 /

640×480px

320×240px 160×120 /

384×288px

384×288px 384×288px 206×156px
Thermal accuracy ±0.5°C ±0.3°C @ 30-45°C ±0.5°C @ 37°C blacbody ±0.5°C, (±0.3°C blackbody) ≤0.3 °C ±0.1°C @ 30-45°C blackbody ±0.3°C @ 30-45°C blackbody
Thermal Sensitivity

NETD

<40mk @ 25°C <40mK @ 30°C (24° lens), <30mK @ 30°C(42° lens) 50mK @ 30°C ≤40mK @ 25°C 40mK @ 26.85°C ≤50mK nominal (probably @30°C) 40mK @ 30°C

<50mK @ 25°C

Field of View (H×V) 25°×18.7° (6.2mm lens) 14°×10° (29mm lens), 24°×18° (17mm lens), 42°×32° (10mm lens) 25°×18.8° (18 mm lens) 25°×18.7° (6.2mm) /

28.8°×21.6° (13mm)

46°×35.3° (8mm) 24.6°(Horizontal) 35°×26° (4mm)
Fixed Lens Yes Interchangeable Yes Yes (both) Yes Yes Yes
Automated Screening Software Free Central management software Included Free Central management software Free Central management software (iVMS-4200) NA Included Included
Features Integrated display, tracking people Integrated display Integrated display Alarm Functions, motorized focus Used 2003 SARS iVMS-4200 software features AI detection Motion detection, Body recognition, Temperature Alarm Used 2003 SARS, Integrated display, Alarm Audiovisual with intelligent febrile tracking, with blackbody Alarm audiovisual, with blackbody
Scan time per person NA "Seconds"(with Proprietary software) NA NA NA "Seconds" 1-3s

Crowd Monitoring

The system calculates the number of people in indoor and outdoor spaces. This system uses a frequency scanner placed at waste level. Scans crowd capacity by recording the Received Signal Strength. The signal attenuates depending on the quantity of people present. The system is completely modular. Each unit is made of a transmitter and receiver. Many units are combined in a network. The received signal is measured from each unit and a model is created on the number of people. Flow and flux of people is analyzed in a totally anonymous way. The main features of this system are its accuracy, privacy friendly, real-time measurement capabilities and no radio frequency interference (RFI)[41].

Privacy issues and regulations

Here, a study will be done on the possible privacy issues and legal issues arising from a system as proposed in this project.

Privacy issues

What is privacy?

Before the issues of privacy can be discussed, it is important to know what exactly privacy is.

There are a lot of different definitions for privacy, according to Warren and Brandeis it is “The right to be left alone” [42]. Others define it as a way of information control.[43]. Another description of privacy is “The condition of not having undocumented personal knowledge possessed by others”[44] William Prosser Separates privacy in 4 different categories:

1. Intrusion upon the plaintiff’s seclusion or solitude, or into his private affairs

2. Public disclosure of embarrassing private facts about the plaintiff

3. Publicity which places the plaintiff in a false light in the public eye

4. Appropriation, for the defendant’s advantage, of the plaintiff’s name or likeness [45]


For the case of privacy for the device we are making the first point here is what we take into account when we are talking about privacy.

Constitution

The constitution also states rules about privacy and they way they are processed. These rules are in article 10, 11, 12 and 13 of the constitution[46].

Article 10 states[47]:

  • Everyone has the right to privacy for their private life, the government is not allowed to use personal information for no reason and everyone is allowed to view their personal information and is allowed to change them if they are incorrect.

Article 11 states[48]:

  • Everybody has the right to decide for themselves what happens to their body. Nobody is allowed to forcefully do medical test to their body. There are exceptions if this is regulated by the law.

Article 12 states[49]:

  • Without permission of the resident entering the residence is only allowed with a statutory exception. This law also apply for workspace or public space.

Article 13 states[50]:

  • The government is not allowed to read or listen to correspondence between citizens except in cases where the law allows it and by order of the judge.


For the device we are making and the procedure with using it these laws influence it by,

Article 10:

  • None of the data that was collected will be saved and after it is used to detect the person the medical staff needs to pick out it will be deleted. Also no personal information is asked during the process. The device is not allowed to be used to collect any personal information.

Article 11:

  • The extra tests can not be forced to be done to people if they are initially detected as having a symptom of COVID-19.

Article 12:

  • It is allowed to refuse entry if someone is tested positive for COVID-19 or refuses to have further tests for COVID-19.

Article 13:

  • This article does not have any effect on the device or procedure being done.

Case corona-app

One of the more known subjects in the news is the privacy issues regarding the corona-app. The app would track if you came into contact with someone who has corona and if you were close enough for a long enough time it would send you a message indicating this.[51] On 19-4-2020 a privacy analysis was done for 7 corona-apps. [52] In this analysis the principles that should be met were:

  • The data that is used should not be able to be led back to anyone (anonymity)
  • As little as possible false positives(correctness)
  • Data can exclusively be shared if either there is contact- or source research or if the user gave his/her consent.
  • The use should be aimed at simplifying contact research. (purpose limitation)
  • There is an information portal where users can report mistakes and vulnerabilities. (transparency)
  • Conventional security standards
  • If the app is not effective or necessary any more data must be able to be deleted.(removal)
  • Comply with the Algemene verordening gegevensbescherming(AVG)

This a analysis however showed that none of these apps meet the requirements stated by the AVG.


A group of privacy advocates wants to have a few firm commitments [53] namely :

  • The app is only allowed to have 1 goal
  • It must be based on scientific insight and proven effective
  • Proven reliable and based on expertise.
  • The application of the application is by definition temporary.
  • Not traceable to individuals.
  • Use as little data as possible.
  • Do not store personal data centrally.
  • Safe and resistant to abuse.
  • User-friendly and accessible.
  • Never under pressure from the government and third parties.

Users

A detection system that checks if people potentially have COVID-19 can have a lot of privacy issues, after all to detect this a lot of sensors are needed. The issue due to privacy violation is the fact that the habit of people can be deduced from the information seen or saved by the detection system. To prevent this steps should be taken in the design to prevent this issue.

According to T. Winkler, et al.[17] a few desirable properties of a secure an privacy-preserving camera system would be: Detection of sensitive regions, Blanking, Obfuscation, Encryption, Multiple privacy levels, User consent, User feedback.

These are also points we try to implement in our design as well.

  • Detection of sensitive regions: the detection system will only be installed at the entrance of the Heuvel Galerie and aimed at people entering.
  • Blanking: When there are visual images involved, the background will be cut out so only the people/person involved will be visible.
  • Obfuscation: First an infrared camera will be used. With this it is impossible to identify a person. Only when someone is detected to cough will the other camera be turned on.
  • Multiple privacy levels: The system has multiple privacy levels by first only using sound and infrared measurements to detect if some is coughing. Only when it is necessary will the level go up to show who the person was that coughed. Here only the person himself is shown and not his surroundings to prevent any additional information from being seen.
  • User consent: A board that shows what the detection system does will be made so that people know that the detection is there and what it is for. If the people do not consent to this type of detection system, they could also go somewhere else.

Questionnaire

From the questionnaire it can be seen that most people do not think this device intrudes their privacy. During the questioning of the people it became clear that most people do not really care about the information that could be collected by it and possibly sent to other parties.


Privacy general

https://www.sciencedirect.com/science/article/pii/S1094996819301124?casa_token=VJqlJNVakaAAAAAA:Rf6pm2d-XWnVqu-lByhp-H30Mw6x-suKx7FEuo462rF1nHJKsDKmI0aXT7Oj6QIG0-cC5RUTdBfR

https://www.aeaweb.org/articles?id=10.1257/jel.54.2.442

https://www.sciencedirect.com/science/article/pii/S0736585317303180?casa_token=BX4duXoM51oAAAAA:Puv2Sn8SWK4WYbF2E69-OPsEyo4lthvbPi3kxHgYhunX3eCRFPmxqBbt_zRHp9Cy5JmQeohWK_Qq

https://www.researchgate.net/publication/228322650_Privacy_Its_Meaning_and_Value

https://link.springer.com/content/pdf/10.1007/s10676-012-9291-0.pdf

Legality of doing health checks

A question that arises when a COVID-19 symptom check, followed by a possible temperature measurement and cough-test is performed in a public place, is the legality of such a procedure.

In the proposed design, a system will first detect in a crowd of passing people if someone displays symptoms that correspond to COVID-19. If a person displays symptoms, they will be asked by a medical person if they are willing to come to a measurement station where more symptoms can be checked. An example of a symptom that could be checked is fever, indicated by an elevated temperature.

At home, anyone can buy for example an infrared thermometer and measure their temperature. But is this also allowed at the entrance of a privately owned shopping centre? In the Netherlands, the government body responsible for the privacy of people is the Autorieit Persoonsgegevens (AP). One of the laws enforced by the AP is the Algemene Verordering Gegevensbescherming (AVG). This is a law coming from the European Union which safeguards people’s privacy. [33] According to the AP, it is not allowed to measure someone’s temperature if the measurement data is automatically stored or processed in any way, since this is in violation of the AVG. [34] The AVG states that it is not allowed that the measurement results in some sort of automated action, like for example a gate that opens or a light that turns green. The measurement data and the persons identity can not be stored, passed along or processed in any way. If this is followed and the person is asked permission (and is able to decline) then the AVG is not violated and measurements at the entrance of a privately owned shopping centre, like the Heuvel Galerie, are allowed. A similar procedure is already in place nearby at ASML in Veldhoven. At ASML, a temperature measurement is performed on every person who wants to enter a building. If they have a raised temperature, access is denied. [35]

Design

In this section, first, all things taken into account during the design proces and the choices made to come to a final design are elaborated. After that the final hardware- and software design are given.

RPC's

Here, the RPC's for the COVID-19 symptom detection system are given. These RPC's are based on the previously mentioned users needs.

Requirements

  • Detect coughing people and notify medical staff.
  • Perform IR temperature measurement on measurement station.


Preferences

  • Respect privacy as much as possible.
  • Easy to use for medical staff.
  • Safe to use for medical staff.
  • Increase the attractiveness of visiting the Heuvel Galerie.
  • The system should be attractive (in terms of looks and pricing).
  • No excessive hindrance for shoppers.
  • Easy to install at location of use.
  • Minimize amount of false positives and false negatives.
  • System should be as visible as possible to alert people of the presence and consequences of the system.


Constraints

  • Comply with health and privacy regulations and laws.

Privacy

The detection system proposed in this study requires people to be taken to a measurement station when they have showed symptoms corresponding to COVID-19. The AP (Autoriteit Persoonsgegevens) warns that, when a measurement is used to for example deny someone access, and a line of waiting individuals is able to observe this happening, then this could impact the persons privacy. [34] Measurements need to incorporated into the design to prevent this violation of privacy. The measure we chose was to also let some random people be taken to the measurement station while having a sign state that not only people with symptoms will be taken, but also random people. This way people will not think strange about a person being taken to the measurement station.

What happens after testing?

After the testing is done, the people who are tested negative can continue in the Heuvel Galerie. For people who are tested positive it gets a bit more complicated.

The Heuvel Galerie is real estate that is a part of the private company CBRE Global Investors, and any measures being taken have to go by them. It is assumed from here on forward that they agree with the measures being suggested.

When people are tested positive, it is recommended that the Heuvel Galerie denies them access. Such a temporary prohibition is legal even if it is only verbally commanded by the owner, on the grounds of the law of "huis- of lokaalvredebreuk". In article 5:1 of the "Burgerlijk Wetboek" it can be found that ownership is the most inclusive right a person can have on a company, which means that the owner decides who can go in and under which conditions. If CBRE Global Investors would write a statement that people who have been tested positive in the testconditions specified in this study are to be denied access, they have no legal right to enter the building.

By denying positively tested people acces, the Heuvel Galerie can create a safer shopping environment.

Disinfection

Every time a person has done a personal test for COVID-19, the system has to be thoroughly disinfected before further use. Luckily, it appears that COVID-19 is highly sensitive towards ultraviolet radiation[36]. In this type of environment it is possible to use a pulsed-xenon ultraviolet room disinfection device[37].

A robot has been developed to clean hospital rooms this way autonomously, and it needs about 1 or 2 minutes per position to completely disinfect the room[20]. If a UV light is used to disinfect the room the cough-test was taken in, it will probably take no more than the 2 minutes needed, because the area is much smaller than the average hospital room.

Psychological effects

In order to decrease COVID-19 spread it is very important that people are careful themselves. At the time of writing the article in September 2020, the COVID-19 pandemic has been in the Netherlands for about half a year. In the period of June 17th to June 30th, Eindhoven had 9 infected people according to the RIVM[38], and since then the number started exponentialy increasing to 117 infections in the period form August 26th to September 8th. Because the number of infections in Eindhoven and its regions has been relatively low for some time, the perceived risk of COVID-19 has gone down a lot. This results in people being less careful. In order to make people more aware and careful, visibility is very important. Visibility can be manifested in different ways. People you know being infected is an example of visibility. Other, more preferable examples are medi and visible coronameasures. A visible system of coronadetection of course falls under the last category. Several steps can be taken to manipulate people in being more careful by improving the design of the system and the surroundings.

People are different, and this has to be taken into account in the persuasion process. There are, on one hand, high-self-monitoring individuals, who mostly serve a social-adjustive function, and on the other hand low-self-monitoring individuals, who serve a value-expressive function. The high-self-monitoring group is more easily persuaded by messages that focus on facilitating social interaction and enhancing cohesion, and the low-self-monitoring group is more easily persuaded by messages that focus on core values or beliefs.[39] This can be implemented in the design process by making posters for example, where one type of poster is designed to target the high-self-monitoring group, and another type of poster is designed to target the low-self-monitoring group. For the high-self-monitoring group this poster should focus on the social groups the people could be in, and imply that not adhering to the rules lowers your cohesion with the group. For the low-self-monitoring group the focus should lie on complying to the rules because of valueing for example life, health, decency and common sense.

People behave differently when they are self-aware and non-self-aware.[40] If people are self-aware they are more likely to act according to the way they perceive themselves or how they think they should behave, which is mostly better behaviour. The presence of a mirror or an audience can greatly improve self-awareness. [41] In case of the system for symptom detection, self-awareness of surrounding people can be increased by the presence of reflective surfaces such as mirrors and the presence of for example law enforcing people looking around.

Questionnaire

Privacy

1. Does the procedure make you feel more protected? (1-5)

2. How much do you feel your privacy is being invaded by the symptom detection device?(1-5)

3. How much do you feel your privacy is being invaded by the procedure?(1-5)

4. What part of the procedure do you think invades your privacy most?(- being screened by the preliminary detection device - being potentially taken to a separate room for more tests - The cough test being done in the separate room -the cough test being done in the separate room -If being tested positive not being allowed to enter the Heuvel Galerie)

5. What part of the device do you think invades you privacy most? (-Infrared camera -visual camera -microphone)

6. How useful do you think the detection device will be?(1-5)

7. How useful do you think the entire procedure will be?(1-5)

8. What is you opinion about the Heuvel Galerie with the detection procedure compared to the the Heuvel Galerie without the detection procedure?(1-5)

9. Do you have any ideas to make the procedure less privacy invasive?(open)

10. Do you have any ideas to make the detection device less privacy invasive?(open)

Detection system options

The different types of detection systems that will be used in the system for COVID-19 symptom detection are thermometers for testing temperature and a camera with microphone for cough detection. The camera will not be used for detecting whether people are within a 1.5 meter range of each other, because it is hard to distinguish between families this way. Another option that will not be implemented is fever screening through thermal imagery, because mass screening for fever requires a resolution that is so high that it does not exist yet. Screening for fever using an IR handheld thermometer could be possible, but only in a controlled environment, and it is not sensitive enough.

(Having a que or no que?)

(Coughing movement study)

Checkpoint description

Checkpoint.png

Conventional Airport security Checkpoint

Design features for airport security checkpoints taken from the Transportation Security Agency (TSA)[54] which could be applied to the symptom screening system. Some design features reported in this summary might be too oriented for security checkpoints and should be only taken for informative purpose, not as direct solutions. Very standard, very dehumanizing.

  • Queue delimitation: Queue should be delimited by strap stanchions, either single or double strap. Recommended lane width is from 1m or 1.5m depending on lane function or available space. For airport use recommended queueing space is: 27m2.
  • Barriers to delimit safe zone, Disability access gate: Barriers that delimit the safe zone (sterile zone) from the normal zone. Gates are placed along the delimitation to give access to people with wheelchairs or disabilities.
  • Secondary screening and compose bench: The secondary screening station should be close to avoid the person to walk to much and to let the person maintain eye contact with his/ her family (1-1.5m, but now consider COVID). Mobile cabinets are used to store extra equipment. Composure bench are used for passengers to sit down and compose themselves. Benches are placed out of the passenger flow.
  • Private Screening cabin: Private screening cabins are used for private pat downs of people. Private cabins should be placed close to main screening station. The recommended dimensions are 1.8x2.4x2.4m. The glass should be opaque to maintain privacy. Include power and data outlet in the design for future technology.

Standard layout:

  • Queue management: For each lane there should be at least 27m2. At peak times pre-scanning or queue flexing should be used to increase throughput.
  • CCTV coverage: Camera placement should avoid recording people in Private Screening Cabins. For airport security the CCTV system records and stores personal identifying data. Important design features are to maintain an accurate system time and “provide a view of people entering and exiting with enough detail to recognize them”.
  • Lighting requirements: Should meet local and/or national guidelines, but 300lux (30 foot-candles). Enough lighting should be maintained the performance of the checkpoint.

Final hardware design

(CAD drawings and posters)

Software

T1 = Time necessary to detect who coughed from video.

T2 = Time of the sound of a cough.

T3 = Time a person is outside of the camera range of the detection system.


Always{

Record camera on.

Record microphone on.

Delete video data older than T1.

Delete microphone data older than T2.

}


If (Sound recorded from microphone = sound of a cough){

Load the current video recorded by the camera.

Determine from microphones the direction of the cough.

Look at the movements of the people in that.

Determine which persons movements correspond to a person coughing.

Track person.

Loop{

If (No empty window to show new footage){

Split screen to create an empty window.

}

Outline person in [insert color] in the footage.

Send footage to empty window.


If (person is out of view of the camera for longer than T3){

Stop sending footage of person.

End Loop.

}

}

}

Posters

Three posters were made, two to make sure people keep their distance, and one to make people aware of the system. The first two posters were specifically designed for high-self-monitor people and low-self-monitor people, as explained in the chapter about the psychological effects of the detection system.

File:Poster1.pdf

File:Poster2.pdf

File:Poster3.pdf

Simulations

Here, the Matlab and Netlogo simulations used for the design are explained. The results from the simulation are discussed, evaluating the effectiveness of the system.

Simulation of throughput

(Matlab simulation)

Matlab simulation:

Media:Matlab_Simulation.m

Simulation of people flow

The COVID-19 symptom detection system is designed to be placed at the entrances of the Heuvel Galerie. Here, it can monitor the flow of people entering the shoppincenter. To visualize the operation of the system and evaluate it's effectiveness, a Netlogo model has been made.

The model

The model is created and written in a program called Netlogo.[42] Netlogo is a modelling environment which can be used to model the behavior of large numbers of agents (called turtles) at the same time, and thus is suitable for modeling and visualizing the flow of people at the entrance of the Heuvel Galerie.

In the model, a flow of people moving towards the entrance of the Heuvel Galerie is modelled, as can be seen in the following figure:

Visualization part of the running Netlogo model.

The people are represented by arrows. The environment consists of tiles and is updated every tick (timestep). Each arrow moves 1 tile per tick. A green arrow indicates a healthy person and a red arrow indicates a person with symptoms corresponding to COVID-19. In the middle of the flow of people is the detection station. This is the station with the camera and microphone. When people are to the left of the detection station, they can be detected. When they are detected they are sent to the measurement station (in the top part of the screen). Here, additional measurements are performed. From the measurement station people can be turned away or they are allowed to re-join the flow of people entering the Heuvel Galerie.

The parameters that can be varied inside the Netlogo model.

The behavior and outcome of the model is controlled by a set of parameters, as can be seen in the figure on the right. These parameters are implemented as sliders in the user interface such that they can easily be changed. The parameters are defined as follows:

  • perc_infected: The percentage of the persons that are infected and show COVID-19 symptoms.
  • max_people: The maximum amount of people present in the simulation. This is used to keep the simulation clear and not to cluttered with arrows.
  • detection-chance: This is the chance a person showing symptoms is detected by the system while moving from the spawn location at the left side of the screen to the detection station. When a person has passed the detection station he/she can not be detected anymore.
  • measurement-accuracy: This is the accuracy of the test conducted at the measurement station. This percentage determines the amount of people with symptoms that are turned away and the amount of healthy people that were randomly picked out and are allowed to enter.
  • test-time: This variable is the amount of ticks it takes to test one person at the measurement station.
  • random-pick-chance: As explained before, healthy people are randomly picked out by the system. This parameter represents the chance a healthy person is picked out while moving from the spawn location at the left of the screen to the detection station.


The output of the Netlogo model.

The output of the model is in the form of the visualization as shown above and in the form of graphs and numbers that are of interest, as can be seen in the figure on the right. These numbers/graphs represent the following:

  • Graph Total people counter: A graph showing the total number of healthy and infected people that entered the Heuvel Galerie since the start of the simulation.
  • Graph People per tick: A graph showing the number of healthy and infected people entering the Heuvel Galerie per tick (timestep).
  • Total healthy: Number showing the total amount of healthy people that entered the Heuvel Galerie since the start of the simulation.
  • Total infected: Number showing the total amount of infected people that entered the Heuvel Galerie since the start of the simulation.
  • Healthy per tick: Number showing the amount of healthy people that enter the Heuvel Galerie per tick.
  • Infected per tick: Number showing the amount of infected people that enter the Heuvel Galerie per tick.
  • False Positive Rate: The false positive rate of the system. A false positive is when the system determines that a healthy person is infected. This rate is defined as the number of false positives divided by the actual number of negatives, which is equal to the sum of the false positives and the true negatives.
  • False Negative Rate: The false negative rate of the system. A false negative is when the system determines that an infected person is healthy. This rate is defined as the number of false negatives divided by the actual number of positives, which is equal to the sum of the false negatives and the true positives.

Results

(Results of varying the parameters of the Netlogo model and how to achieve desired false positive and false negative rate)



(Crowds simulations:

https://github.com/trinhthanhtrung/unity-pedestrian-sim

https://unitylist.com/p/10qa/Crowd-Simulation-and-Visualization-in-Unity

https://unitylist.com/p/1qp/RVO-2-Unity


Proprietary software:

https://ucrowds.com/documentation/unity3d/manual/UUCS_Unity3D_Plugin_manual.pdf

https://arc.de/airport-challenges-in-reacting-to-covid-19/

Analysis on response to SARS-2: https://www.eurocontrol.int/sites/default/files/2020-08/covid19-impact-airport-ops-webinar-a-presentation.pdf)

Cost-benefit analysis

Here, a cost-benefit analysis of the COVID-19 symptom detection system is performed.

(Comparing cost of system against expected benefit. Together with Netlogo model determine optimum system accuracy)

Costs

- Costs of making the product

- Costs of medical personnel

- Costs of potential client-loss for the shops in the Heuvelgalerie due to inconvenience

- Costs for publicity of the system

Benefits

- Monetary gain due to potential increase in clients for the shop-owners in the Heuvelgalerie because of increased feeling of safety

- Decrease in healthcosts because of less spread of COVID-19 in the Heuvelgalerie

  • Calculate from model how many people with COVID-19 will be sent away by the system
  • Compare that to the Dutch reproduction number of COVID-19
  • Make an estimate about how many people will not be infected because of the system
  • Multiply by the average healthcosts per COVID-infected people
  • Talk about additional costs for the macro-economic scale

Feasibility

Here, a conclusion is drawn on the feasibility of a COVID-19 symptom detection system.

(What are advantages compared to other COVID-19 measures, for example BOA's?)

Evaluation questionnaire

(Final questionnaire at Heuvel Galerie showing the complete system and again asking peoples opinion. Example question: How long are you willing to wait in line for measurement station? What invades your privacy more, a queue system or a mass detection system?)

Conclusion

Here, an overal conclusion on the project is drawn.

Conclusion

Discussion

(Why use camera and microphone instead of person)

Recommendation

Peer review

Here, the peer review is given.

Workload

An overview of who has done what per week of the project.


Week 1

Name Student ID Hours this week Tasks
Davide Fabbro 1255401 9 Intro videos + first brainstorm (1.5 hours) + Studied and wrote summaries for papers: [5], [6], [16], [15], [27], [28], [29] (6 hours) with small research on [30], [31] (0.2 hours) + second meeting (0.5) + Reorganizing state of the art section (1 hour).
Lieke Nijhuis 0943276 12 Intro videos + first brainstorm (1.5 hours) + Studied and wrote summaries for papers: [26], [20], [7], [11], [9], [10], [8] (6.5 hours) second meeting+ sending e-mail (45 minutes) + Describing problem statement and objectives (15 minutes) + Miscellaneous work (3 hours)
Ikira Wortel 1334336 10 Intro videos + first brainstorm (1.5 hours) + Studied and wrote summaries for papers [4], [18], [19], [13], [14], [12]and [17](7 hours) + extra meeting discussing chosen subject (0.5 hour) + Who are the users (1 hour)
Wout Opdam 1241084 12.5 Intro videos + first brainstorm (1.5 hours) + Start with wiki layout (1 hour) + Studied and wrote summaries for papers: [21], [22], [23],[24] and [25] (5 hours) + wrote about approach and deliverables (0.5 hour) + Made planning for project (2.5 hours) + extra meeting discussing chosen subject (0.5 hour) + Describing user requirements (1.5 hours)

Week 2

Name Student ID Hours this week Tasks
Davide Fabbro 1255401 5.5 Tutor feedback meeting (0.5 hour) + Group meeting (1 hour) + Rewrite focus on COVID-19 symptom detection (0.25 hour) + Research Thermal cameras and grid(4 hour)
Lieke Nijhuis 0943276 10 Tutor feedback meeting (0.5 hour) + Group meeting (1 hour) + Research and write "what happens after testing" (0.5 hour) + Research psychological effects detections center (5 hours) + Detection systems explanation (30 minutes)+ Extra group meeting (0.5 hour) + Miscellaneous work (2 hours)
Ikira Wortel 1334336 10 Tutor feedback meeting (0.5 hour) + Group meeting (1 hour) + Redefine USE'ers (1 hour)+ Extra group meeting (0.5 hour) + questionnaire questions privacy (2 hours) + Reading and finding papers about privacy (5 hours)
Wout Opdam 1241084 7.5 Tutor feedback meeting (0.5 hour) + Group meeting (1 hour) + Revised project planning (1.5 hours) + Re-designed wiki layout (1 hour) + Describe use case Heuvel Galerie and learn wiki page formatting (1.5 hours) + Redefine USE'er requirements (1.5 hours) + Extra group meeting (0.5 hour)

Week 3

Name Student ID Hours this week Tasks
Davide Fabbro 1255401 9 Tutor feedback meeting (0.5 hour) + Group meeting ( 1.5 hours) + Research on similar systems (3 hours)+ Research on convetional security checkpoints (1 hour) + Miscellaneous (3 hours)
Lieke Nijhuis 0943276 12 Tutor feedback meeting (0.5 hour) + Group meeting ( 1.5 hours) + Setting up e-mail for shopowners in the Heuvelgalerie (0.5 hours) + Finding contactinfo of and mailing to 17 shopowners in the Heuvelgalerie (1 hour) + Interviewing shoppers Heuvelgalerie (2 hours) + Designing posters (3 hours) + Extra meeting (0.5 hours) + Miscellaneous work (3 hours)
Ikira Wortel 1334336 19 Tutor feedback meeting (0.5 hour) + Group meeting ( 1.5 hours) + making questionnaire (1.5 hours) + interviewing shoppers Heuvel Galerie (2 hours) + Extra meeting (0.5 hours) + Working on privacy part(8 hours) + Working on matlab model (3 hours) + Miscellaneous work (2 hour)
Wout Opdam 1241084 16 Tutor feedback meeting (0.5 hours) + Group meeting ( 1.5 hours) + Adjusting planning (1 hour) + Miscellaneous work (0.5 hours) + Research legal side of measurements at Heuvel Galerie entrance (2 hours) + Making initial design concept sketches (2 hours) + Work on Netlogo simulation model (7.5 hours) + Extra group meeting (0.5 hours) + Update user requirements and RPC's based on questionnaire (0.5 hours)

Week 4

Name Student ID Hours this week Tasks
Davide Fabbro 1255401 6.5 Tutor feedback meeting (0.5 hours) + Group meeting (1 hour) + Thermal imaging (2 hours) + research on far field voice recognition (2hours) + Measurement of heuvel galerie (1hour)
Lieke Nijhuis 0943276 17 Tutor feedback meeting (0.5 hours) + Group meeting (1 hour) + Updating questionnaire part (2 hours) + Finishing poster design and update wiki (2 hours) + Interviewing shopping personnel and updating wiki (5 hours) + Researching disinfection methods (2 hours) + Finishing research on psychological effects (0.5 hours) + Extra group meeting (0.5 hours) + Starting on cost-benefit analysis (1 hour) + Adjusting user requirements according to survey (0.5 hours) + Misc (2 hours)
Ikira Wortel 1334336 17 Tutor feedback meeting (0.5 hours) + Group meeting (1 hour) + Working on matlab model(9 hours) + Extra group meeting (0.5 hours) + Writing pseudo code(2 hours) + questionnaire workout (2 hours) + miscellaneous (2 hours)
Wout Opdam 1241084 19.5 Tutor feedback meeting (0.5 hours) + Group meeting (1 hour) + Update planning (1 hour) + Finalize sketches of measurement station and detection system (1 hour) + Finish Netlogo simulation (6 hours) + Make CAD design of detection system (3 hours) + Make CAD design of measurement station (4 hours) + Miscellaneous work (0.5 hours) + Update user requirements and RPCs based on shop owner questionnaire (0.5 hours) + Extra group meeting (0.5 hours) + Wiki page formatting and creating second page (1.5 hours)

Week 5

Name Student ID Hours this week Tasks
Davide Fabbro 1255401
Lieke Nijhuis 0943276 Tutor feedback meeting (1 hour) + Extra group meeting (1 hour) + Miscellaneous work (1 hour)
Ikira Wortel 1334336
Wout Opdam 1241084 Tutor feedback meeting (1 hour) + Extra group meeting (1 hour) + Miscellaneous work (0.75 hours) + Update planning (0.5 hours) + Added false-positive and false-negative rates to Netlogo model (1 hour) + Netlogo bug fixing (1 hour) + Researched numbers for RPCs (1 hour)


*Miscellaneous work: reading, brainstorming, discussing things in Whatsapp group etc.

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