[Research] Prof. Simon Woo’s DASH Lab won the 3rd place in 2020 National Grand AI Challenge Competition by IITP
- College of Software and Engineering
- Hit909
- 2021-01-21
[Data-driven Security HCI Lab(DASH LAB): Won the 3rd plan in 2020 National Grand AI Challenge Competition, Advisor: Prof. Simon Woo]
DASH LAB (https://dash-lab.github.io) led by Prof. Simon Woo in Software/Applied Data Science Dept won the 3rd place as well as follow-up research grant in 2020 National Grand AI Challenge occurred in last December 2020, sponsored by IITP. Team members including Hanbeen Lee (MS student in AI dept), JoonHyung Kang (MS student in AI dept), Junyaup Kim (MS student in CS dept), Minha Kim (MS student in CS dept), Jaeju An (MS student in CS dept), Jenongho Kim (Senior in CS dept), Jinbeom Kim (Senior in CS dept), Gunwoo Park (Sophomore in CS dept), and Yoohyun Kim (Sophomore in CS dept) made tremendous efforts to prepare for the national AI competition for several months and finally won the 3rd place. They developed the novel light-weight deep learning-based objection detection mechanism to effectively detect anomalies, ‘fall down events’ in CCTV videos. The competition was very challenging because there were limited number of opportunity to submit the models, and it was required to collect a large amount of training set. Also, the model had to be light enough to run on the GPU inference server. DASH team’s achievement is outstanding given that the majority of participants and winners are from the industries that have a huge computing power as well as manpower. There are very few universities won the competition. DASH team will compete again this year, for the more complex challenge that requires the object detection algorithm to be run on the small edge device such as NVIDA Jetson Nano. Congrats for the hard-working team members!