Vision-based high-speed fault detection and its application to crown cap manufacturing

Wenju Zhou

“Vision-based high-speed fault detection and its application to crown cap manufacturing”

07.005, conference room, Ashby building, QUB

Time & Date
3:00pm, Thursday, 26 September 2013


In intelligent high-speed manufacturing, vision-based surface inspection becomes an essential component in the production system. However, due to the fast production speed and disturbance to the motion, it is challenging to control camera to locate the product with a high accuracy. Another challenge is that real-time image processing is difficult. For example, in a crown cap production, at least 2600 caps can be produced per minute. The time dealing with a single cap is restricted to be less than 24ms (or 42 caps must be processed in one second). Therefore, it is crucial to develop precise control and high-speed detection algorithm based on machine vision. In this talk, a novel vision-based precision control and fast image processing approaches will be presented. The developed methods have also been validated on crown cap manufacturing line in China.
Everyone welcome

Bio-sketch of the speaker

Wenju Zhou received his B.Sc. and M.Sc. degrees from Shandong Normal University, China in 1990 and 2005, respectively. He is currently a final year Ph.D student in Shanghai University, and he is also an associate professor in Ludong University, China. His main research interests include machine vision, neural networks, system modelling and identification, and networked control systems.

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