Ladder Safety Assessment Using Head-Mounted 360-Degree Camera-Based Posture Estimation Overlayed Real-Time in Augmented Reality

Various industries involve overhead tasks using ladders, presenting potential risks of imbalance and falls, which are crucial factors impacting worker safety. This study proposes employing a 360-degree camera with augmented reality (AR) headset-driven imagery to conduct posture estimation for multiple on-site ladder workers. By utilizing posture estimation and identifying factors contributing to fall risks, the study aims to monitor worker movements to improve safety and task performance. The proposed system entails deploying 360-degree cameras mounted on an ergonomist's headgear, who monitors the workplace while wearing an AR headset. The head-mounted camera captures comprehensive footage, while the ergonomist views the estimated posture overlayed real-time in AR. Posture estimation models assess workers' joint movements, generating scores based on the Assessment of Repetitive Tasks (ART) metric. This system also assesses and generates feedback concerning workers' use of personal protective equipment. This proposed solution can potentially improve ladder safety and advance AR technology in occupational safety.