Enhancing Workplace Safety with Computer Vision: Real-Time Monitoring and PPE Compliance, TAPPICon25

Workplace safety is a critical measurement of success for any paper mill in the 21st century. Traditional methods of monitoring safety compliance, including personal protective equipment (PPE) usage, can be labor-intensive, difficult to entrench and prone to human error. This paper explores the potential of integrating computer vision technologies into workplace safety management systems to enhance real-time monitoring and enforce PPE compliance. By using cameras and machine learning algorithms, computer vision systems can automatically detect and identify whether workers are wearing the necessary safety gear in real time. The paper discusses the key technologies involved, such as image recognition and neural networks, and how they are integrated and implemented. Additionally, the benefits of adopting such systems, including reduced workplace accidents and improved compliance with safety regulations, are also addressed. By leveraging the power of computer vision, organizations can create safer work environments, reduce accidents and injuries and improve overall operational efficiency.

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