The proposed system can identify various types of safety gear and assess their positions and movements to detect potential hazards in real-time. A real-time hazard detection mechanism where workers and supervisors are notified through an alert system in case of any potential hazard. The experimental results confirm the system's ability to enhance workplace safety significantly. Key Frame Extraction methods are implemented for effective use of computational resource during continuous surveillance.
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A real-time hazard detection mechanism capable to identify various types of safety gear and assess their positions and movements to detect potential hazards and send alerts and warnings to workers and supervisors in the event of missing safety gear
pannagaUdup/Labor_Safety_Analysis_using_Object_Detection_and_DeepLearning
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A real-time hazard detection mechanism capable to identify various types of safety gear and assess their positions and movements to detect potential hazards and send alerts and warnings to workers and supervisors in the event of missing safety gear
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