Advanced Safety Helmet Detection: Enhancing Industrial Site Safety with AI
DOI:
https://doi.org/10.48001/978-81-966500-7-0-1Keywords:
Multiple disease, CNN, Object Detection, Safety Helmet, Industrial Site, YOLOvAbstract
Employees who work in industrial and construction environments prioritize safety above all else. In an industrial setting, real-time object detection is a crucial method for identifying safety compliance infractions. Workers may be put in danger if safety helmets are not worn properly, thus it is crucial that an automatic surveillance system be in place to identify those who are not wearing them. This will lessen the amount of labor-intensive work that needs to be done to keep an eye out for infractions. Several techniques for image processing are applied to each video clip that is collected from the manufacturing plant. CNN has released a novel and practical safety detection framework that entails first identifying individuals from the camera footage and then determining whether or not they are wearing safety helmets
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References
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