2019.06.26
Kazuhiro Mikami, a first-year master's student in the Graduate School of Media and Governance from Professor Jin Nakazawa's laboratory at the Faculty of Environment and Information Studies, has won the Grand Prize at the WSN-IoT AWARD 2019, hosted by the WSN Promotion Committee of the YRP R&D Promotion Committee (YRP Association).
The WSN-IoT AWARD 2019 is an award system that recognizes outstanding products, components, software, systems, and their advanced applications, R&D, and human resource development initiatives to promote the advancement of IoT technology and the development and expanded use of IoT systems in Japan. This year, there were 13 entries from across the country, and after a rigorous screening process, one Grand Prize, two Excellence Awards, and four Recommended Case Awards were presented. The award ceremony and presentations were held at the Wireless Technology Park 2019 (WTP2019) from Wednesday, May 29 to Friday, May 31. Going forward, the WSN Promotion Committee (Wireless Smart Utility Network Promotion Committee) will work to disseminate these cases through its various activities.
Mr. Mikami gave a presentation titled "DeepCounter: Research and Development of a Method for Estimating Fine-Grained Garbage Discharge Volume from Garbage Truck Collection Videos Using Deep Learning."
Comment from Kazuhiro Mikami
I am honored to have received the Grand Prize. In Japan, where the population is decreasing while garbage disposal costs are increasing, my research aims to achieve sustainable garbage collection operations by acquiring and utilizing garbage discharge data to improve operational efficiency and reduce waste. After receiving the Student Encouragement Award at the last Annual Conference of the Japanese Society for Artificial Intelligence, I continued to advance my research, improving garbage detection accuracy and data processing speed, and demonstrating the effectiveness of the method in larger-scale experiments. In the future, I plan to implement and evaluate this system on garbage trucks operating in Fujisawa City, and to develop a system that provides feedback on discharge data to residents and collection companies. I would like to express my gratitude to everyone in my laboratory for their guidance in receiving this award.
Source: General Affairs Section, Shonan Fujisawa Campus (SFC) Office