The Marvelous Advances of Artificial Intelligence with Computer Vision on Occupational Health and Safety in Manufacturing Environments: A Systematic Literature Review
摘要
The automated manufacturing processes together with an initiative use of intelligent machines is defined as industrial 4.0. But little by little, the looming ahead of industry 5.0 which will be the next industrial revolution in which Artificial Intelligence (AI) will collaborate closely and efficiently with workers. This study was achieved to report a literature review on the marvelous advances of artificial intelligence with computer vision (CV) on Occupational Health and Safety (OHS) in manufacturing environments. The searches were performed across 3 accessible electronics data bases including ScienceDirect, SCOPUS and Springer-Link. And when combined with articles sought and selected from search engines, there were 1,151 articles found in total. In compliance with PRISMA review guidance, only 10 were concluded meeting with the inclusion criteria. The review suggests that those applied this technology corresponding the study term on three major hazards, consisting of safety (80%), ergonomics (10%) and biological hazards (10%). YOLO was found as the most popular model (60%) and most efficient in term of accuracy and speed for a computer vision, to recognize or detect feature of interest. In conclusion, AI with CV has continuously evolved to serve real-world applications with increasing performance. It shows a great potential as a powerful tool in OHS interventions for the incoming era of industry 5.0.