PRE2019 3 Group5

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Group members

Name Student ID Department
Ana Maria Risnoveanu 0000000 Electrical Engineering
Stacey Elshove 1279998 Psychology and Technology
Petru Radulescu 1371320 Psychology and Technology
Yiqin Hou 1281135 Electrical Engineering
Toby 0000000 ...

Problem Statement

Objectives

USE Aspects

Approach, milestones and deliverables

Task distribution

Week1

Name[total hours of work] Tasks and hours
Ana Maria Risnoveanu ...
Stacey Elshove ...
Petru Radulescu ...
Yiqin Hou[?h] Papers about X-ray imaging[1][2][3][4]/Object recognition[5] searched and studied[?h]; summary[?h]; Learn wikitext and make template for the group wiki[4h]
Toby ...

SotA

Detection

X-ray

Inspired by security machines, X-ray imaging could be a usefull tool in detcting the type of rubbish. X-ray imaging [3]makes use of the property of X-ray that it attenuates differently accorss difderent materials. For example metal atoms and ions attenuate more X-ray than normal organic tissue, such as fat and protein. Some new X-ray imaging techniques could even determine the chemical structures that form within the materials[4]. With such techiniques and some morden X-ray imaging detectors [2], the bin can distinguish materials much more accurate than using normal X-ray imaging. It is also possible to distinguish different types of plastics with X-ray imaging[1], which further increases the recycling sorting process.

Despite its reliable performance in detecting metal and different kinds of organic materials, an X-ray imaging system is too expensive to implement in a trash bin. Even the cheapest X-ray tubes cost $100 to $500 each, let alone the detectors, power supply and other systems.

Computer vision and image processing

Object recognition [5]

References

  1. 1.0 1.1 Peco-InspX. Detecting Plastics with X-Ray Inspection Systems. Date accessed: 2020-02-05. https://www.peco-inspx.com/blog/x-ray-detectable-plastics/
  2. 2.0 2.1 Sol M. Gruner.(2012). "X-ray imaging detectors" https://physicstoday.scitation.org/doi/10.1063/PT.3.1819 Pulisher: American Institute of Physics. Date accessed: 2020-02-06
  3. 3.0 3.1 Mary E.Coles. (1999). "8. X-Ray Imaging". https://doi.org/10.1016/S0076-695X(08)60419-6 . 35: 301-336. Date accessed: 2020-02-08.
  4. 4.0 4.1 Schroer, Christian G. (2011). "X-ray imaging: The chemistry inside". Nature. 476: 159-160. https://www-nature-com.dianus.libr.tue.nl/articles/476159a Date accessed: 2020-02-06
  5. 5.0 5.1 Liu, Ying-Ho; Lee, Anthony J.T.; Chang, Fu. (2012). "Object recognition using discriminative parts". Computer Vision and Image Understanding. 116: 854-867.