Real-Time Video Processing in Fuzzy Posture-Based Ergonomic Analysis in a Disassembly Cell

Traditional ergonomic evaluations often overlook the dynamic and uncertain nature of human movements, leading to potential musculoskeletal disorders (MSDs) and impacting worker health, efficiency, and company costs. Disassembly cells, crucial for sustainability and circular economy efforts, pose unique challenges and opportunities for ergonomic optimization. This study introduces an innovative approach for ergonomic risk assessment in the manufacturing industry, particularly within disassembly cells, by integrating real-time video processing and fuzzy logic. Our research fills a significant gap in ergonomic assessment by utilizing a multi-camera computer vision technique to capture and analyze worker motions in real-time, allowing for dynamic ergonomic risks assessment in a disassembly cell. The fuzzy logic inference enhances the system's ability to handle the variability and subjectivity of human posture, offering a more nuanced and accurate risk assessment than binary logic systems. Experimental validation in a laboratory setting confirms the feasibility of our approach, demonstrating its potential to improve worker safety and productivity by providing a more responsive and adaptable tool for ergonomic assessment in industrial environments. This work marks a significant advancement in the field, suggesting a path forward for the development of ergonomic interventions that are both more effective and applicable in diverse manufacturing settings.