AI and Data-Driven Approaches to Workplace Safety

As the digital transformation of manufacturing advances, we are seeing a significant movement towards the use of novel technology to improve workplace safety. The current scene is marked by a surge in the use of wearables, AI vision processing technology, and data-driven tactics, all aimed at boosting musculoskeletal safety and fostering a more robust safety culture.

Wearables, devices equipped with sensors and connectivity, are being widely integrated by forward-thinking firms to monitor workers’ physiological status and the surrounding environment. These devices can detect risk indicators in advance, reduce fatigue, and improve workers’ physical well-being.

Simultaneously, AI visual processing technology adds an extra degree of security. These systems process video footage in real-time using machine learning algorithms, warning of potential hazards, risky behaviours, or deviations from established rules. By fostering healthy mobility and body mechanics, this technology has proven revolutionary, particularly in reducing common musculoskeletal injuries.

ADVICS, a brake manufacturer, used SoterTask, an AI vision processing solution, to restructure their conveyor system through a strategic partnership between their safety and engineering departments. Their deployment resulted in a 23% reduction in total risk and a 66% reduction in right-arm risk, highlighting the potential of smart technologies and effective practices in decreasing workplace accidents.