Convolutional neural network-based vehicle identification and detection method and system

Abstract

The invention relates to a convolutional neural network-based vehicle identification and detection method and system, and the method is characterized in that the method comprises the following steps:extracting a vehicle image sample, and carrying out the marking of the vehicle image sample; carrying out region segmentation and type analysis training on the marked picture sample; extracting a group of randomly continuous to-be-identified images in the to-be-identified video; predicting positions and types of vehicles in all images to be identified; outputting the motion state of the vehicle; binding the motion state with vehicle monitoring service logic; output of monitoring results and instructions. According to the invention, the vehicle identification system is adopted to intelligentizerelated vehicles. Automatic management is achieved, urban traffic is controlled and managed through modern technical means, the operation state of each vehicle is mastered in real time, vehicle scheduling can be conveniently achieved, when danger happens, tracking and disposal of the wrecking vehicle can be guided, and a solid foundation is laid for timely guiding and efficient monitoring of themanagement department.

Description

technical field [0001] The invention relates to the technical field of vehicle identification and management, in particular to a method and system for vehicle identification and detection based on a convolutional neural network. Background technique [0002] With the rapid development of social economy, the number of cars in major cities in various countries is increasing day by day. Illegal parking of vehicles is one of the major causes of traffic congestion. Parking. At present, the traffic department mainly adopts manual patrol to supervise illegal parking. Therefore, the supervision of illegal parking by manual patrol requires a lot of manpower and material resources. Few devices can satisfy real-time performance, accuracy and Validity requirements. [0003] In addition, in recent years, the number of special vehicles such as oil tank trucks, hazardous chemical transport vehicles, dump trucks, and military and police vehicles has also increased. In order to determine th...

AI Technical Summary

Problems solved by technology

However, the accuracy of using GPS to locate the vehicle contains an error of about tens of meters, and it is difficult to determine the detailed position with higher accuracy. Therefore, the traditional special vehicle management mode has been difficult to meet actual needs, and the supervision efficiency is low. Hidden danger

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