Plushcap here, summarizing the text for you. The article discusses the importance of personal protective equipment (PPE) in workplaces and the challenges organizations face when ensuring compliance with safety protocols. With around 340 million workplace accidents occurring annually, implementing a strict policy of wearing PPE is crucial to mitigate these incidents. However, manually monitoring PPE compliance is challenging due to the large workforce and dynamic environments. To address this, computer vision (CV)-based solutions can be used to detect whether workers wear PPE according to safety protocols. These systems use machine learning algorithms to analyze visual data from cameras and sensors, enabling real-time monitoring and automation of compliance checks. The article highlights the benefits of using CV for PPE detection, including efficiency, scalability, and data analytics, as well as addressing implementation challenges such as technical difficulties, privacy concerns, and maintenance needs.