PRE2020 Group 1 numbers: Difference between revisions

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*Range microphone: 10x10 meter. [https://static1.squarespace.com/static/5aec19464eddecf8ba36f73e/t/5c8798c4b208fcd94f38328d/1552390343531/Sorama+Smart+City+Listener+2019.pdf]
Return to the main page: [[PRE2020_1_Group1#Numerical_design_data|Main page]]


*Height microphone: 2.5 meter since this is the minimum height of the chosen microphone.
{| border=1, style="border-collapse: collapse;" cellpadding = 5  


*Distance between the detection device and the measurement station: preferably 2 meter but can depend on the available space and which entrance.
|-
|<!--Col1-->'''Name'''
|<!--Col2-->'''Value'''
|<!--Col3-->'''Explanation'''
|<!--Col4-->'''Source'''


*Percentage of infected people: 0.1%, this is the amount of people currently tested positive for corona. Some of these people are in the hospital and do not count, also the people tested positive will be a lot careful coming into contact with others. However there are also people that have corona that are not tested, This will even out and so the same Percentage of infected people was taken. [https://www.rivm.nl/coronavirus-covid-19/actueel]
|-
|<!--Col1-->Microphone array range
|<!--Col2-->10x10 meter
|<!--Col3-->Range provided by manufacturer
|<!--Col4--><ref name="Microphonerange">[https://static1.squarespace.com/static/5aec19464eddecf8ba36f73e/t/5c8798c4b208fcd94f38328d/1552390343531/Sorama+Smart+City+Listener+2019.pdf] Sorama. Sorama Smart City Listener. </ref>


*Chance of detecting a cough: 87% Korean study
|-
|<!--Col1-->Microphone mounting height
|<!--Col2-->2.5 meters
|<!--Col3-->Minimum mounting height provided by manufacturer
|<!--Col4--><ref name="Microphonerange"/>


*Time at the measurement station per person: 4 minutes, 1 minute testing, 2 minutes disinfecting, 1 spare minute.
|-
|<!--Col1-->Distance between detection device and measurement station
|<!--Col2-->2 meters
|<!--Col3-->Preferred value
|<!--Col4-->


*False positive in the measurement station: 7% becomes higher than only the cough test since only 1 test needs to be positive to refuse access [https://reader.elsevier.com/reader/sd/pii/S2352914820303026?token=70DD1B56C2B823C5822B3A3EDDCA58C932054DB618C2B4774B8FC3568EEECC82A12B4641B33EE145BEE73F4249262F1F]
|-
|<!--Col1-->Percentage of infected people
|<!--Col2-->0.1%
|<!--Col3--> This is the amount of people currently tested positive for COVID-19. Some of these people are in the hospital and do not count, also the people tested positive will be a lot more careful coming into contact with others. However there are also people that have COVID-19 that are not tested. This will even out and so the same percentage of infected people was taken.
|<!--Col4--><ref name="RIVMactueel">[https://www.rivm.nl/coronavirus-covid-19/actueel] RIVM. Actuele informatie over het nieuwe coronavirus.</ref>


*False negative in the measurement station: 7% becomes lower than only the cough test since only 1 test needs to be positive to refuse access.[https://reader.elsevier.com/reader/sd/pii/S2352914820303026?token=70DD1B56C2B823C5822B3A3EDDCA58C932054DB618C2B4774B8FC3568EEECC82A12B4641B33EE145BEE73F4249262F1F]
|-
|<!--Col1-->Chance of detecting a cough with camera and microphone
|<!--Col2-->87%
|<!--Col3-->Chance obtained by Korean researchers using a similar system
|<!--Col4--><ref name="KoreanStudy">[https://news.kaist.ac.kr/newsen/html/news/?mode=V&mng_no=9470] Center for Noise and Vibration Control KAIST (2020). Deep Learning-Based Cough Recognition Model Helps Detect the Location of Coughing Sounds in Real Time​. </ref>


*Random people picked out: after the device detects 2 people 1 random person is picked out, only if there is no row.
|-
|<!--Col1-->Measurement station cycle time
|<!--Col2-->4 minutes
|<!--Col3-->1 minute testing + 2 minutes disinfecting + 1 spare minute
|<!--Col4-->


*Chance a healthy person coughs close to the camera: 0.08% based on average cough time and waling speed [http://www.healthofchildren.com/C/Cough.html]
|-
|<!--Col1-->Expected false positive rate in measurement station
|<!--Col2-->7%
|<!--Col3-->Study of similar cough classification algorithm achieved 96.6% accuracy. In this specific case this becomes higher than only the cough test since only 1 test needs to be positive to refuse access
|<!--Col4--><ref name = "CoronaCoughApp"> [https://doi.org/10.1016/j.imu.2020.100378] Imran, A., Posokhova, I., Qureshi, H. N., Masood, U., Riaz, S., Ali, K., John, C. N., Hussain, I., & Nabeel, M. (2020). AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app. Informatics in Medicine Unlocked, 20, 100378.</ref>


*Cost of the product:
|-
|<!--Col1-->Expected false negative rate in measurement station
|<!--Col2-->7%
|<!--Col3-->Study of similar cough classification algorithm achieved 96.6% accuracy. In this specific case this becomes higher than only the cough test since only 1 test needs to be positive to refuse access
|<!--Col4--><ref name = "CoronaCoughApp"/>


: €5500 for thermal camera
|-
|<!--Col1-->Frequency of random person getting picked out
|<!--Col2-->After every 2 coughing persons detected, 1 person is picked out randomly, if there is no queue
|<!--Col3-->This will ensure random people are not picked too often/not often enough and also random persons will not have to wait in a queue
|<!--Col4-->


: €1000 for microphones
|-
|<!--Col1-->Chance a healthy person coughs when in range of the microhpone
|<!--Col2-->0.08%
|<!--Col3-->Based on average cough time and walking speed
|<!--Col4--><ref name="HealthyCough">[http://www.healthofchildren.com/C/Cough.html] Encyclopedia of Children's Health. Cough​. </ref>


: €100 for microphone in cabin
|-
 
|<!--Col1-->Estimated cost of the total system
: €400 for camera on pole
|<!--Col2-->€10950
 
|<!--Col3-->€5500 for thermal camera, €1000 for microphones, €100 for microphone in cabin, €400 for camera on pole, €750 for camera pole, €3000 for booth including computer, software, screens, and interfaces, €200 for UV light
: €750 for camera pole
|<!--Col4-->Various webshops
 
: €3000 for booth including computer, software, screens, and interfaces
 
: €200 for UV light
 
*Salary of a Medical personnel: €25 and hour gotten from a salary administrator
 
*Dutch reproduction rate of Corona: 3 [https://www.rivm.nl/coronavirus-covid-19/verspreiding]
 
*Number of people entering the Heuvel Galerie during 30 min:
 
Quiet hours
:Quiet entrance: 24
:Busy entrance: 61
Medium hours
:Quiet entrance: 117
:Busy entrance: 194
Busy hours
:Quiet entrance:233
:Busy entrance:756
 
 
 
 
{| border=1, style="border-collapse: collapse;" cellpadding = 5


|-
|-
|<!--Col1-->'''Name'''
|<!--Col1-->Salary of medical personnel
|<!--Col2-->'''Value'''
|<!--Col2-->€25 per hour
|<!--Col3-->'''Explanation'''
|<!--Col3-->
|<!--Col4-->'''Source'''
|<!--Col4-->Obtained from dad of group member who is a salary administrator


|-
|-
|<!--Col1-->Microphone array range
|<!--Col1-->Dutch reproduction rate of COVID-19
|<!--Col2-->10x10 meter
|<!--Col2-->3
|<!--Col3-->Range provided by manufacturer
|<!--Col3-->
|<!--Col4--><ref name=''Microphonerange''> Sorama. Sorama Smart City Listener. [https://static1.squarespace.com/static/5aec19464eddecf8ba36f73e/t/5c8798c4b208fcd94f38328d/1552390343531/Sorama+Smart+City+Listener+2019.pdf]</ref>
|<!--Col4--><ref name="RIVMverspreiding"> [https://www.rivm.nl/coronavirus-covid-19/verspreiding] RIVM. Verspreiding COVID-19. </ref>


|-
|-
|<!--Col1-->
|<!--Col1-->Number of people in half an hour entering Heuvel Galerie during a quiet hour at a quiet entrance
|<!--Col2-->
|<!--Col2-->24
|<!--Col3-->
|<!--Col3-->
|<!--Col4-->
|<!--Col4-->Counted by group members
 
|-
|-
|<!--Col1-->
|<!--Col1-->Number of people in half an hour entering Heuvel Galerie during a quiet hour at a busy entrance
|<!--Col2-->
|<!--Col2-->61
|<!--Col3-->
|<!--Col3-->
|<!--Col4-->
|<!--Col4-->Counted by group members


|-
|-
|<!--Col1-->
|<!--Col1-->Number of people in half an hour entering Heuvel Galerie during a medium busy hour at a quiet entrance
|<!--Col2-->
|<!--Col2-->117
|<!--Col3-->
|<!--Col3-->
|<!--Col4-->
|<!--Col4-->Counted by group members


|-
|-
|<!--Col1-->
|<!--Col1-->Number of people in half an hour entering Heuvel Galerie during a medium busy hour at a busy entrance
|<!--Col2-->
|<!--Col2-->194
|<!--Col3-->
|<!--Col3-->
|<!--Col4-->
|<!--Col4-->Counted by group members


|-
|-
|<!--Col1-->
|<!--Col1-->Number of people in half an hour entering Heuvel Galerie during a busy hour at a quiet entrance
|<!--Col2-->
|<!--Col2-->233
|<!--Col3-->
|<!--Col3-->
|<!--Col4-->
|<!--Col4-->Counted by group members


|-
|-
|<!--Col1-->
|<!--Col1-->Number of people in half an hour entering Heuvel Galerie during a busy hour at a busy entrance
|<!--Col2-->
|<!--Col2-->756
|<!--Col3-->
|<!--Col3-->
|<!--Col4-->
|<!--Col4-->Counted by group members


|}




|}
<references/>

Latest revision as of 10:10, 15 October 2020

Return to the main page: Main page

Name Value Explanation Source
Microphone array range 10x10 meter Range provided by manufacturer [1]
Microphone mounting height 2.5 meters Minimum mounting height provided by manufacturer [1]
Distance between detection device and measurement station 2 meters Preferred value
Percentage of infected people 0.1% This is the amount of people currently tested positive for COVID-19. Some of these people are in the hospital and do not count, also the people tested positive will be a lot more careful coming into contact with others. However there are also people that have COVID-19 that are not tested. This will even out and so the same percentage of infected people was taken. [2]
Chance of detecting a cough with camera and microphone 87% Chance obtained by Korean researchers using a similar system [3]
Measurement station cycle time 4 minutes 1 minute testing + 2 minutes disinfecting + 1 spare minute
Expected false positive rate in measurement station 7% Study of similar cough classification algorithm achieved 96.6% accuracy. In this specific case this becomes higher than only the cough test since only 1 test needs to be positive to refuse access [4]
Expected false negative rate in measurement station 7% Study of similar cough classification algorithm achieved 96.6% accuracy. In this specific case this becomes higher than only the cough test since only 1 test needs to be positive to refuse access [4]
Frequency of random person getting picked out After every 2 coughing persons detected, 1 person is picked out randomly, if there is no queue This will ensure random people are not picked too often/not often enough and also random persons will not have to wait in a queue
Chance a healthy person coughs when in range of the microhpone 0.08% Based on average cough time and walking speed [5]
Estimated cost of the total system €10950 €5500 for thermal camera, €1000 for microphones, €100 for microphone in cabin, €400 for camera on pole, €750 for camera pole, €3000 for booth including computer, software, screens, and interfaces, €200 for UV light Various webshops
Salary of medical personnel €25 per hour Obtained from dad of group member who is a salary administrator
Dutch reproduction rate of COVID-19 3 [6]
Number of people in half an hour entering Heuvel Galerie during a quiet hour at a quiet entrance 24 Counted by group members
Number of people in half an hour entering Heuvel Galerie during a quiet hour at a busy entrance 61 Counted by group members
Number of people in half an hour entering Heuvel Galerie during a medium busy hour at a quiet entrance 117 Counted by group members
Number of people in half an hour entering Heuvel Galerie during a medium busy hour at a busy entrance 194 Counted by group members
Number of people in half an hour entering Heuvel Galerie during a busy hour at a quiet entrance 233 Counted by group members
Number of people in half an hour entering Heuvel Galerie during a busy hour at a busy entrance 756 Counted by group members


  1. ↑ 1.0 1.1 [1] Sorama. Sorama Smart City Listener.
  2. ↑ [2] RIVM. Actuele informatie over het nieuwe coronavirus.
  3. ↑ [3] Center for Noise and Vibration Control KAIST (2020). Deep Learning-Based Cough Recognition Model Helps Detect the Location of Coughing Sounds in Real Time​.
  4. ↑ 4.0 4.1 [4] Imran, A., Posokhova, I., Qureshi, H. N., Masood, U., Riaz, S., Ali, K., John, C. N., Hussain, I., & Nabeel, M. (2020). AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app. Informatics in Medicine Unlocked, 20, 100378.
  5. ↑ [5] Encyclopedia of Children's Health. Cough​.
  6. ↑ [6] RIVM. Verspreiding COVID-19.
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