Traffic light positioning and identification method, device and system

Abstract

The invention discloses a traffic light positioning and identification method, device and system. The method includes the following steps that: an image to be detected and a convolutional neural network-based target detection and identification model are obtained; traffic light identification is performed on a traffic light identification region of the image to be detected through the convolutional neural network-based target detection and identification model; and traffic light information in the image to be detected is obtained, wherein the traffic light information contains the colors, coordinate positions and confidence degrees of traffic lights. According to the traffic light positioning and identifying method, device and system provided by the technical schemes of the invention adopted, the signals of the traffic lights are positioned and identified through the convolutional neural network-based target detection and identification model, and therefore, the traffic light positioning and identification method, device and system can be not only applicable for surrounding environment influence and but also be applicable to the positioning and identification of the signals of traffic lights of any shape, and thereby, improving the identification precision of the signals of the traffic lights and reducing a misjudgment rate.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a traffic signal light location recognition method, device and system. Background technique [0002] With the continuous improvement of economic level and people's living standards, vehicles in large, medium and small cities are constantly increasing. At the same time, the ensuing traffic problems have attracted more and more attention. In the process of identifying traffic violations, it is particularly important to automatically and accurately identify traffic lights. Traditional traffic light recognition schemes mainly use pixel changes to detect color value changes in specific areas to determine the status of traffic lights. For example, the user defines a fixed detection area, and if the area is red, it is considered that the red light is on. However, due to the weather, seasonal changes, and the characteristics of thermal expansion and contraction of ob...

AI Technical Summary

Problems solved by technology

[0005] The technical solution for identifying traffic lights in the prior art has low recognition accuracy, high misjudgment rate, poor versatility, and is greatly affected by the external environment

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