Beverage cup analysis and material detection

How to recycle the beverage cups become more and more important. The EPA announced that the amount of beverage cup amounted to 1.5 billion in the 2011 to 2012, and gradually pays attention to this problem. The beverage cups include the paper, PP, PS, PLA, PET…etc‥ In this paper, we proposed an image-based recognition system to detect the beverage cup. These methodologies contained the image processing techniques and simple geometric operations to find the appearance of the cup, such as cup cover, straws, cup body. The image processing technologies contained the gray level transformation, Gaussian distribution and edge detection (Canny). Furthermore, we use the image matching approach based on Sum of Absolute Difference (SAD) to find the corresponding material. It can improve recycle efficiency, saving the labor power of beverage cup recycle, and making a contribution to the environment and recycle. The average time cost was 103ms. The accuracy rates were: straw 90%, PLA 66%, PP 95%, PS 100%, PAPER 100%.

[1]  Charles A. Poynton,et al.  A technical introduction to digital video , 1996 .

[2]  John C. Russ,et al.  The Image Processing Handbook , 2016, Microscopy and Microanalysis.

[3]  Hui-li Zhao,et al.  Improvement of canny algorithm based on pavement edge detection , 2010, 2010 3rd International Congress on Image and Signal Processing.

[4]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Rahul Gupta,et al.  DGW-canny: An improvised version of Canny edge detector , 2011, 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS).

[6]  Hu Feng,et al.  Improved Self-Adaptive Edge Detection Method Based on Canny , 2013, 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics.

[7]  Berthold K. P. Horn,et al.  Large area imaging detector for long-range, passive detection of fissile material , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).