University Archives

Ensuring the safety of both patients and healthcare workers is critical in medical  environments. However, due to the urgency of medical situations, healthcare professionals  may occasionally forget to wear the required personal protective equipment (PPE). This project proposes a real-time computer vision system designed to detect and track whether  medical staff are wearing the required PPE. The system utilizes You Only Look Once (YOLOv8), a state-of-the-art deep learning object detection model known for its high  accuracy and real-time performance. YOLOv8 processes camera input and detects  essential protective equipment such as masks, gloves, goggles, and other medical safety  gear. Based on predefined compliance rules, the system evaluates whether a healthcare  worker meets the required safety standards. Accordingly, it can allow or deny access to  restricted medical areas such as patient rooms or operating rooms. The proposed approach aims to improve PPE compliance in healthcare environments, reduce the need for manual  monitoring, and enhance overall infection control and workplace safety.