Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2022.05a
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- Pages.162-164
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- 2022
Measures to Reduce Traffic Accidents in School Zones using Artificial Intelligence
- Park, Moon-Soo (Hoseo Graduate School of Venture) ;
- Park, Dea-woo (Hoseo Graduate School of Venture)
- Published : 2022.05.26
Abstract
Efforts are being made to prevent traffic accidents within the child protection zone. Efforts are being made to prevent accidents by enacting safety facilities and laws to prevent traffic accidents in the school zone. However, traffic accidents in school zones continue to occur. If the driver can know the situation in the child protection zone in advance, accidents can be reduced. In this paper, we design a camera that eliminates blind spots in school zones and a number recognition camera system that can collect pre-traffic information. Design a LIDAR system that recognizes vehicle speed and pedestrians. Design an LED guidance system that delivers information to drivers without smart devices. We study time series analysis and artificial intelligence algorithms that collect and process pedestrian and vehicle information recognized by cameras and LIDAR. In the artificial intelligence traffic accident prevention system learned by deep learning, before entering the school zone, the school zone information is sent to the driver through the Force Push Service and the school zone information is delivered to the driver on the LED sign. try to reduce accidents.
Keywords
- Blind spot and number recognition camera;
- LIDAR;
- Artificial Intelligence Traffic Accident Prevention System