Published Paper Details:

Wearing a safety helmet, gloves and shoes while working is crucial for protecting workers from injuries, which can range from mild to severe. In industrial settings, workers are often exposed to hazardous materials, dangerous machinery, and other potential hazards that can cause injury. A safety helmet, gloves and shoes detection can help to prevent injuries by absorbing the impact of a falling object or other traumatic force. This project proposes the use of an AI-based visual examination system for safety gear detection and face recognition in manufacturing and construction industries. The system employs a CNN algorithm to detect the presence or absence of safety helmet, gloves and shoes as well as recognize the faces of workers. In case of any safety gear violation or unauthorized personnel, the system triggers an alert through email or SMS to the concerned authorities. The alert contains relevant information about the violation, including the location, time, and identity of the worker. The system can help employers maintain a safe work environment and avoid costly legal repercussions resulting from workplace accidents.