Multitask fake plate vehicle vision detection system based on deep convolution nerve network, and method thereof

Abstract

Provided is a multitask fake plate vehicle vision detection system based on deep convolution nerve network, comprising a camera disposed on a city road, a traffic cloud server, and a fake plate vehicle reverse driving detection system. The camera is used for obtaining the snapshot image data at the city road and is disposed above a road. The traffic cloud server is used for receiving the road video data obtained from the camera, and submitting the road video data to the fake plate vehicle detection system for detection and identification. The fake plate vehicle detection system comprises a Faster R CNN-based vehicle positioning detection module, a vehicle type identification module, a fake plate positioning and identifying module, a license plate legality detection module, a logic consistency detection module, a vehicle inspection mark fine comparison module, and an alarm notification generating module. The invention also provides a multitask fake plate vehicle vision detection methodbased on deep convolution nerve network. The invention is advantageous in that vehicles with fake plates can be rapidly and accurately positioned, and the efficiency of criminal detection can be improved.

Description

technical field [0001] The invention relates to the application of artificial intelligence, big data, convolutional neural network and computer vision in the detection of false license plates and vehicles, and belongs to the field of intelligent transportation. Background technique [0002] False plate and false plate vehicles refer to vehicles that go on the road through forged or illegally obtained other vehicle license plates and driving licenses. For deck and fake license plate vehicles, as the name suggests, the real identity of the vehicle does not match the license plate of the vehicle. Because the owners of fake and fake license plates rarely use traffic laws to restrain themselves when driving on the road, the resulting traffic accidents and legal disputes are bound to bring greater instability to the society. Car sets and fake license plates have been explicitly prohibited by the state. The traffic law of the People's Republic of China has clearly stipulated that...

AI Technical Summary

Problems solved by technology

[0012] Aiming at the disadvantages of poor rapidity, low accuracy and poor robustness existing in the existing deck and fake vehicle detection system, the present invention proposes a system with better rapidity, higher accuracy and robustness. A multi-task deck vehicle visual detection system and method based on deep convolutional neural network with better stickiness

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