The present invention relates to a two-wheeled vehicle accident reporting device having a retro-reflective cover, a deep learning recognition-based two-wheeled vehicle accident severity prediction server, and a two-wheeled vehicle accident severity prediction system including the same. The above reporting device includes: a body mounted on a two-wheeled vehicle; a retro-reflective cover having one end fixed to a lower end of the body, which is configured to be folded and unfolded in a scallop shape and reflects light; and a control board which is mounted on one side of the body, measures the speed and position of the two-wheeled vehicle using a plurality of sensors, and transmits accident occurrence information including speed information, impact amount information, location information and time information along with driver identification information through a wireless communication network to a two-wheeled vehicle accident severity prediction server when an accident occurs.
TWO-WHEELED VEHICLE ACCIDENT OCCURRENCE REPORT DEVICE HAVING RETROREFLECTION COVER, DEEP LEARNING RECOGNITION-BASED TWO-WHEELED VEHICLE ACCIDENT SEVERITY PREDICTION SERVER, AND TWO-WHEELED VEHICLE ACCIDENT SEVERITY PREDICTION SYSTEM COMPRISING SAME
22.06.2023
Patent
Elektronische Ressource
Englisch
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