NDLI: Using a classifier to track the edge of a conveyor belt

Content Provider	IEEE Xplore Digital Library
Author	Mangera, R. Morrison, G. Voigt, A.
Copyright Year	2015
Description	Author affiliation: De Beers Group Services, R&D De Beers Technol. SA, Johannesburg, South Africa (Mangera, R.; Morrison, G.; Voigt, A.)
Abstract	Ensuring that a conveyor belt runs true on an X-ray transmission (XRT) particle sorting system is important for a number of reasons. It limits the damage to the edge of the belt, reduces wear to the conveyor and minimises material spillage. Knowing where the belt is also defines the region of interest (ROI) for the applied algorithm, thus reducing false positives outside the ROI. In addition, correct belt tracking ensures that particles are all contained within the detectable area, avoiding the loss of material. Therefore, ensuring correct conveyor belt tracking can greatly impact the cost and efficiency of the sorting system. This paper presents a novel method for tracking the edge of a conveyor belt in a dual energy X-ray transmission (DE-XRT) sorting system. Using a classifier to determine where the belt edge is, the position of the belt is estimated with a pixel error of less than 15 pixels across all test images. An error of this order is expected as the belt edge is 18 pixels wide in the image. The current method, which is not affected by particles lying against the belt, is shown to be better that the previous approach using morphology, which exhibited poorer tracking accuracy when particles touch the belt. In addition, no additional sensors need to be installed and the belt does not need to be specially manufactured, reducing the cost of the conveyor system.
Starting Page	42
Ending Page	47
File Size	339055
Page Count	6
File Format	PDF
e-ISBN	9781467374507
DOI	10.1109/RoboMech.2015.7359496
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-26
Publisher Place	South Africa
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Absorption Image edge detection Belt edge detection Gaussian classifier Dual energy Belts Cameras X-ray transmission Sensors X-ray imaging Sorting
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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