IoT Accident monitoring system in tunnel using camera grouping of IoT based

摘要

The present invention relates to a yugo surveillance system in a tunnel using IoT-based camera grouping. More specifically, a plurality of cameras capable of communication based on IoT are grouped into a unit monitoring area to generate a panoramic image, and based on the panoramic image. By checking the driving speed of the vehicle, whether to change lanes, and whether fire or smoke has occurred, it is possible to quickly check whether or not an accident occurs in the entire target monitoring area. In particular, the present invention analyzes the panoramic image generated for each unit surveillance area at the camera end, and gives the vehicle ID to the vehicle in the image, and uses the assigned vehicle ID only at the rear end to determine the vehicle's driving status and tunnel internal conditions. By discriminating, real-time monitoring is possible by minimizing the amount of data processed, and through this, it is possible to quickly check whether or not an incident has occurred. Accordingly, it is possible to improve reliability and competitiveness in the vehicle tracking field, in particular, the vehicle tracking and monitoring field in the tunnel, the lane violation vehicle monitoring field, the tunnel accident prevention field, and the like or related fields.