Safety helmet wearing detection method and device based on deep learning, equipment and medium

Abstract

The invention discloses a safety helmet wearing detection method, device and equipment based on deep learning, and a medium. The method comprises the following steps: obtaining a to-be-detected person image; inputting the image of the person to be detected into a trained multi-scale sensing network model; the multi-scale sensing network model comprises three parallel CNN sub-networks, structures of the three CNN sub-networks are different in convolution kernel size, and each CNN sub-network comprises a channel attention module used for extracting global features and a space attention module used for extracting local features; and outputting an image classification result of the to-be-detected person, wherein the classification result comprises a condition that the person does not wear a safety helmet and a condition that the person wears the safety helmet. The method has a high detection rate and a low false detection rate in a complex scene of a transformer substation, and the deep learning method can reduce the previous manual monitoring operation, reduce the labor cost, and ensure the real-time performance of safety helmet detection.

Description

technical field [0001] The present invention relates to the technical field of deep learning, and in particular, to a method, device, equipment and medium for detecting the wearing of a safety helmet based on deep learning. Background technique [0002] As the power system continues to expand, the number and scale of substations continue to increase. Although the smart grid is constantly developing, the operation of the substation still requires regular inspection and maintenance. In order to ensure the safe and stable operation of the substation, operators are required to regularly inspect and maintain the substation. In the actual maintenance process, some operators lack safety awareness and do not wear safety helmets, which poses a great safety hazard. Therefore, safety helmet detection has great value in the operation of substations. [0003] Helmet detection is a multi-faceted problem. At present, the algorithms of helmet detection are mainly divided into two categori...

AI Technical Summary

Problems solved by technology

The core of the traditional method is to obtain skin color, head, face and other information through image processing technology, and use this information to judge whether workers wear helmets. The traditional method is only simple feature extraction, and the false detection rate is high.

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