Safety helmet wearing detection method for workshop safety production

Abstract

A safety helmet wearing detection method for workshop safety production comprises the following steps: acquiring a camera image, preprocessing the acquired image, sending the preprocessed image to an image detection model, carrying out small target feature detection, feature fusion and multi-scale detection on the image, and judging the confidence and color of a worker wearing a safety helmet in the current image. And the result of wearing the safety helmet and the color of the safety helmet is visually displayed on the head of a person on an image and video interface, and according to the video recording time, automatic conclusion is carried out by taking days as nodes and the result is stored in the terminal equipment. According to the invention, by means of a deep learning correlation algorithm, manual work can be replaced to carry out safety supervision, the system has the capability of all-weather and high-efficiency detection, the detection effect is excellent and stable, and the adaptability to a complex environment is higher.

Description

technical field [0001] The invention relates to the technical field of image detection and processing, in particular to a safety helmet wearing detection method for workshop safety production. Background technique [0002] Whether the workshop personnel of the machining and manufacturing enterprises wear safety helmets correctly plays a very important role in their life safety. Although the rules and regulations for safe production have always been emphasized, the workshop personnel still often take off their helmets during the production process. , Not wearing helmets, accidents caused by this happen from time to time, companies often set up security departments or supervisors to conduct inspections, but this method is inefficient and does not have the ability to continuously monitor during the production process. [0003] At present, the use of traditional algorithms and statistical algorithms can better detect whether workers wear helmets in outdoor and laboratory environ...

AI Technical Summary

Problems solved by technology

[0002] Whether the workshop personnel of the machining and manufacturing enterprises wear safety helmets correctly plays a very important role in their life safety. Although the rules and regulations for safe production have always been emphasized, the workshop personnel still often take off their helmets during the production process. , Not wearing safety helmets, accidents caused by this happen from time to time, companies often set up security departments or supervisors to conduct inspections, but this method is inefficient and does not have continuous monitoring capabilities in the production process

[0003] At present, the use of traditional algorithms and statistical algorithms can better detect whether workers wear helmets in outdoor and laboratory environments, but in industrial workshops, due to the influence of the environment and light, the results of judgment and detection are different from normal conditions large deviation

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