TWO-WHEELED VEHICLE ACCIDENT REPORTING DEVICE HAVING RETROREFLECTIVE COVER, TWO-WHEELED VEHICLE ACCIDENT DEPTH PREDICTION SERVER BASED ON DEEP LEARNING RECOGNITION, AND TWO-WHEELED VEHICLE ACCIDENT DEPTH PREDICTION SYSTEM INCLUDING THE SAME

摘要

The present invention relates to a two-wheeled vehicle accident occurrence reporting device having a retroreflective cover, a deep learning recognition-based two-wheeled vehicle accident depth prediction server, and a two-wheeled vehicle accident depth prediction system including the same, comprising: a body mounted on a two-wheeled vehicle; A retroreflective cover having one end fixed to the lower end of the body, configured to be folded and unfolded in a buchaetsal shape, and reflecting light; And it is mounted on one side of the body, measures the speed and position of the two-wheeled vehicle using a plurality of sensors, and includes speed information, impact amount information, location information, and time information along with driver identification information through a wireless communication network when an accident occurs and a control board that transmits accident occurrence information to the two-wheeled vehicle accident depth prediction server.