The Ohata Laboratory of the Department of Environmental and Urban Engineering and the Hayasaka Laboratory of the Department of Information Engineering have jointly submitted their work “Health Resilience System to Visualize the Risk of Heat Stroke” in the 3rd National College of Technology Deep Learning Contest (DCON2022), and have been selected as one of the 10 teams that can participate in the final round to be held on April 28 and 29.
https://dcon.ai/2022/second-screening-passed/
Specialized and regular course students from both laboratories shared the responsibility of data collection, labeling, deep learning, system construction, etc., respectively, and developed a system to infer the risk of heat stroke in workers while receiving opinions from graduates who are active in the field.
With the guidance of our mentors, we will prepare ourselves well for the finals.
