W-50
麗澤大学 陳研究室
WJWTP
Appointment
Online Meeting
We will introduce our research and development efforts, which use image analysis AI running on an edge AI device to perform real-time, fine-grained analysis of garbage collection amount.
We will introduce a research and development initiative that uses image analysis AI running on an edge AI device to perform real-time, detailed analysis of where and how much garbage was collected from dashcam images of garbage collection vehicles driving around the city. This initiative is being carried out as a demonstration experiment in multiple municipalities in the Shonan region.
Latest Technology Trends (Beyond 5G/6G, etc.)
| Booth No | W-50 |
|---|---|
| Address | Hikarigaoka 2-1-1, Kashiwa City, Chiba, Japan |
| Phone Number | 0471733571 |
| FAX | |
| Site URL | https://www.reitaku-u.ac.jp/ |
| Company Video URL |
Main Exhibitor
Seminar
5/28/2025 (WED) 15:00 ～ 15:40A1-5WJWTPSeminar Venue A
Regional DX initiatives making maximum use of edge AI technology
The rapid evolution of "generative / AI technologies," including generative AI, is greatly expanding the possibilities for solving various social issues and making cities smarter. Keio University and Reitaku University are using these "generative / AI technologies" not only on GPU servers, but also on edge AI technology to provide a flexible architecture to solve various social issues and make cities smarter. This time, we will introduce the following examples.
- Real-time detection of garbage output using edge AI devices installed on garbage collection vehicles
- Initiatives aimed at searching for city incidents using cross-modal AI
- Initiatives of the "Regional IoT and Information Force Research Consortium" in collaboration with Shonan local governments
Keio University
Faculty of Environment and Information StudiesProfessorJin Nakazawa
Reitaku University
Chen Yin