Super 8 Student Team Wins 6th Utechzone Machine Vision Prize
This past summer, a student team from the Biophotonics and Bioimaging Laboratory of the College of Bioresources and Agriculture’s Department of Bio-Industrial Mechatronics Engineering won the 6th Utechzone Machine Vision Prize. Calling themselves “Super 8,” the team of eight students bested 22 other student and industry teams from Taiwan and China to claim the competition’s top prize of NT$500,000. This is the third year that a team from the Biophotonics and Bioimaging Laboratory has won this competition.
Kicking off with preliminary competitions in May, the competition lasted for more than two months. Prizes were awarded at the 24th IPPR Conference on Computer Vision, Graphics and Image Processing on August 22.
This annual competition is sponsored by Utechzone Co., a local company that mainly designs, manufactures and distributes automated optical inspection systems, including a line of intelligent vision security products for surveillance. Co-sponsors include Taiwan’s Image Processing and Pattern Recognition Society and Automated Optical Inspection Equipment Association as well as the China Society of Image and Graphics.
The theme of this year’s competition was facial recognition systems. It covered the four topics of age recognition, facial expression recognition, facial recognition and gender recognition.
Facial recognition imaging technologies can be used in a wide variety of applications, including digital cameras, mobile telecommunications, biometric recognition and security systems. The competition therefore challenged the student teams to address academic theory as well as industrial applications. For each of the competition’s topics, the teams submitted their work for software verification and scoring and were required to make on-stage presentations of their research papers. The Super 8 team was rated among the best for software verification and paper presentations.
The Super 8 team was made up of undergraduate and graduate students from the Department of Bio-Industrial Mechatronics Engineering and guided by Prof. Ta-te Lin. Competition was tough; other teams were from such prestigious institutions as Taiwan’s National Tsing Hua University, National Chiao Tung University and Chung Hua University as well as China’s Anhui University. The Department of Bio-Industrial Mechatronics Engineering’s repeated strong showing in this event has won them recognition from industry, government and academia for their demonstrated prowess in the cutting-edge field of machine vision research.