Self-adaption detection method for safety belt buckling of driver and passenger in front row of motor vehicle

Abstract

The invention discloses a self-adaption detection method for safety belt buckling of a driver and a passenger in the front row of a motor vehicle. The method includes steps of reading a road checkpoint picture and determining a vehicle front windshield area primarily through positioning a license plate; dividing the windshield area into a main pilot area and a copilot area; positioning the windshield areas of the pilot seat and the co-pilot seat precisely; calculating a pilot safety belt detection area and a copilot safety belt detection area and recording as Mbelt and Sbelt respectively; performing canny edge extraction on the Mbelt and Sbelt respectively and filtering away background noise; extracting safety belt suspected inclined lines; performing connection treatment on the safety belt suspected inclined lines. According to the invention, machine vision automatic detection replaces human eye detection, detection of safety belt buckling of drivers and passengers in a large quantityof checkpoint pictures and video images is implemented, so that a large amount of labor and material are saved and smart city construction is promoted.

Description

technical field [0001] The present invention relates to driver seat belt detection, in particular to an adaptive detection method for drivers and passengers in the front row of a motor vehicle who have not fastened their seat belts; in particular to a method for detecting drivers and passengers in the front row of vehicles in road traffic bayonet videos and images The invention discloses an automatic detection method for wearing a safety belt, which belongs to the field of machine vision of digital image processing and pattern recognition technology. Background technique [0002] Seat belts are important protective facilities for protecting drivers and passengers from secondary collision injuries when a motor vehicle collides during driving. During the driving process of the vehicle, wearing seat belts by drivers and passengers can effectively reduce the death rate of traffic accidents and play a major role. It is of great significance to detect whether the drivers and pass...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the existing problem of relying on human eyes to detect whether the front row drivers and passengers of the vehicle are wearing seat belts one by one, which consumes a lot of manpower and material resources, and to solve the problem of a large number of missing detections in the existing machine identification technology of seat belts. Provides a high-accuracy, automatic detection method for the seat belt wearing of the front seat driver and occupant that avoids missed detection

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