Deep learning and image processing fused traffic signal lamp fault detection method

A traffic signal and image processing technology, applied in neural learning methods, traffic control supervision, instruments, etc., can solve the problems of missed detection, weak generalization ability of detection models, and low model recognition accuracy, and achieve the effect of improving accuracy.
CN112149509APending Publication Date: 2020-12-29ZHEJIANG SUPCON INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
ZHEJIANG SUPCON INFORMATION TECH CO LTD
Publication Date
2020-12-29

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Abstract

The invention discloses a deep learning and image processing fused traffic signal lamp fault detection method. The method comprises the following steps: S1, obtaining an electronic police video streamunder various weather conditions, and decoding the electronic police video stream to obtain a traffic signal lamp image, position information of a traffic signal lamp group in the image, and type information and position information of each signal lamp in the traffic signal lamp group; S2, configuring traffic signal lamp group information and information of each signal lamp in the lamp group; andS3, establishing a traffic signal lamp detection model. According to the invention, the problems of jittering and position deviation of a small-range camera are effectively solved, and the alarm accuracy is improved; and a deep learning technology based on a convolutional neural network is adopted to realize position and state identification of the signal lamp, and an image processing algorithm based on a signal lamp period is adopted to further improve the identification accuracy of the signal lamp.
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Description

technical field

[0001] The invention relates to the technical field of traffic signal lamp status monitoring, in particular to a traffic signal lamp fault detection method integrated with deep learning and image processing. Background technique

[0002] Traffic lights are a category of traffic safety products that can be used to strengthen road traffic management and improve road use efficiency. The normal operation of traffic lights is the basis for the normal operation of the city, but at present, a large number of existing traffic lights are non-intelligent traffic lights without fault self-diagnosis capabilities. The fault detection of such traffic lights is mainly through the maintenance of the traffic police on duty, and the patrol inspection of traffic facilities units. and public alarms.

[0003] The above signal lamp fault detection method has problems such as heavy workload of maintenance personnel, untimely fault detection, and low efficiency. In view of the act...

Claims

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