Traffic light fault detection system based on machine learning

Abstract

The invention provides a traffic light fault detection system based on machine learning. The system comprises detection terminals, a remote detection center and communication modules, wherein the detection terminals are integrated in traffic lights, and each detection terminal comprises a current detection unit, a voltage detection unit and a time detection unit; the remote detection center transmits data with the detection terminals through the communication modules and comprises a detection data processing unit, a display unit and a compensation unit; the detection data processing unit receives and processes detection data from the detection terminal and comprises a learning type chip, and the display unit and the compensation unit are connected with the detection data processing unit. The system can detect running conditions of traffic lights in a covered area in real time, send detection data to the detection center for processing and display, and faulted traffic lights can be timely checked. Besides, the system can actively compensate errors for the detection data and has higher learning performance and intelligence.

Description

technical field [0001] The invention relates to the technical field of traffic light fault detection, in particular to a traffic light fault detection system based on machine learning. Background technique [0002] With the development of urbanization, traffic lights play a vital role in maintaining the order of urban traffic. However, with the long-term use of traffic lights, traffic lights are prone to failure. During times when traffic lights are out of order, traffic is often in a state of disorder, which in turn increases the risk of traffic accidents. Therefore, it is necessary to propose a further solution for how to timely detect and discover the traffic lights that have failed. Contents of the invention [0003] The present invention aims to provide a traffic light failure detection system based on machine learning and components of the machine learning-based traffic light failure detection system to overcome the deficiencies in the prior art. [0004] In order...

AI Technical Summary

Problems solved by technology

However, with the long-term use of traffic lights, traffic lights are prone to failure

During times when traffic lights are out of order, traffic is often in a state of disorder, which in turn increases the risk of traffic accidents

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