Industrial Inspection and Quality Control of Food Products
Participants

Mai Moussa Chetima
M.A.Sc. student
2006-2009

Martin Côté
M.A.Sc. student
2006-2007

Phillip Curtis
Ph.D. student
2006-2013

Danick Desjardins
M.A.Sc. student
2006

Dr. Pierre Payeur
SITE, University of Ottawa



Collaborators


Dipix Technologies Inc.



Precarn



Sons Bakery


 Computer vision can play an important role for the control of quality of food products, especially about their aesthetics and dimensionality. Commercial technologies have been available for many years to perform this type of task and have contributed to more efficient and uniform production in large factories. Such system must operate at high speed and be easily integrated into existing manufacturing facilities, imposing strict requirements on sensors specification and image processing.

This research focuses on the design of a next generation of food inspection systems, especially dedicated to bakery products. Several aspects are considered including the overall design of such machines, the combination of sensors and the processing of information in real-time. The project is conducted in close collaboration with industry to address their actual needs.

Related Publications

  • M.M. Chetima, P. Payeur, Feature Space Dimensionality Reduction for Real-Time Vision-Based Food Inspection", Sensors & Transducers Journal, vol. 5, pp. 86-103, March 2009. [pdf]

  • M.M. Chetima, P. Payeur, "Feature Selection for a Real-Time Vision-Based Food Inspection System", Proceedings of the IEEE International Workshop on Robotic and Sensors Environments (ROSE 2008), pp. 120-125, Ottawa, ON, 17-18 Oct. 2008. [pdf]

  • M. Côté, P. Curtis, P. Payeur, P. Krug, D. Thorslund, "Capture, Replay and Simulation for Food Inspection Systems Design", 17th Annual Canadian Conference on Intelligent Systems (IS 2007), Montreal, QC, 28-30 May 2007.

© SMART Research Group, 2008