Dr. Zheng Liu of The University of British Columbia

This lecture presents a detailed focus on the use of machine vision techniques in industrial inspection applications. The lecture will provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications.

Advanced machine vision systems may incorporate multiple imaging and/or vision modalities to provide robust solutions to complex situations and problems in industrial applications. A diverse range of industries, including aerospace, automotive, electronics, pharmaceutical, biomedical, semiconductor, and food/beverage, and manufacturing, etc., have benefited from recent advances in multi-modal inspection technologies. This lecture highlights both the advances in technologies and vision system integration for practical applications. The advances provide an insight into recent progresses and developments of imaging and vision techniques for varied industrial inspection tasks while the applications present the state-of-the-art of imaging and vision system integration, implementation, and optimization.

Topics and features:

• Presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection
• Includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs
• Discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks
• Provides a focus on imaging and vision system integration, implementation, and optimization
• Describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process

Bridging the gap between theoretical knowledge and engineering practice, this lecture will attract graduate students interested in imaging, machine vision, and industrial inspection. The lecture also provides an excellent reference for researchers seeking to develop innovative solutions to tackle practical challenges, and for professional engineers who will benefit from the coverage of applications at both system and component level.

Biography:

Zheng Liu received two Doctorates from Kyoto University (Japan) and the University of Ottawa (Canada) in 2000 and 2007, respectively. From 2000 to 2001, he was a Research Fellow at the Nanyang Technological University (Singapore). Dr. Liu then joined the National Research Council of Canada (Ottawa, Ontario) in 2001 and worked for the Aerospace and Construction institutes as a research officer. From 2012 to 2015, Dr. Liu worked as a Full Professor with Toyota Technological Institute (Japan). He is now with the University of British Columbia. His research interests include digital twin, data/information fusion, computer/machine vision, machine learning, smart sensor and industrial IoT, and non-destructive inspection and evaluation. Dr. Liu is a fellow of SPIE and a senior member of IEEE. He holds a Professional Engineer license in both British Columbia and Ontario. Dr. Liu serves on the editorial boards for several prestigious journals.

Email:

Address:#5000 2332 Main Mall, , Vancouver BC, Canada, V6T 1Z4