System for enforcing bad and overloading vehicle to prevent falling object in cargo truck

摘要

The present invention relates to a loading failure control system, comprising: a photographing device for photographing the rear side of a freight vehicle passing through a road, an image collecting device for collecting images photographed by the photographing device, and a freight vehicle collected by the image collecting device And a load classification engine for classifying a freight vehicle by performing a learning process using deep learning on the rear image of the target freight vehicle through the load classification engine when an image of the target freight vehicle is input from the image collection device. And an image processing device that classifies and determines whether or not a load is defective according to the classification result, and an operator terminal that receives and displays information about whether or not a target cargo vehicle is loaded from the image processing device. According to the present invention, there is an effect that the efficiency of the enforcement work can be improved, such as excluding closed freight vehicles that do not need to be cracked, by performing the crackdown on defective loading using artificial intelligence learning.