worker safety violation

"Enhancing Worker Safety with YOLOv7 & Deep Sort: Smart Violation Detection System"
Description:
🔍 Welcome to our groundbreaking project on Worker Safety Violation Detection! In this demo video, we showcase how cutting-edge technology is transforming workplace safety.
👷‍♂️ Our system utilizes YOLOv7, a powerful object detection algorithm, to monitor workers on the job. We detect not only the presence of workers but also various safety violations, such as:
1️⃣ Helmet Detection: Is the worker wearing the required safety helmet?
2️⃣ Glove Detection: Are gloves properly worn during work?
3️⃣ Safety Glasses Detection: Are safety glasses or goggles being used as needed?
4️⃣ Shoe Detection: Is the worker wearing appropriate footwear?
5️⃣ Pants & Specs Violation: Ensuring compliance with specific clothing and gear regulations.
🎯 But we don't stop there! Our system includes Deep Sort for Object Tracking, ensuring that violations are linked to the correct individuals in the frame. We crop and store images of violators in our database, enabling seamless enforcement of workplace safety rules and potential fines for non-compliance.
📊 With our MongoDB integration, data is securely stored and can be easily accessed for reporting and analysis.
🔗 Watch this video to see our system in action, how it can significantly enhance workplace safety, and promote a culture of compliance.
🤝 Join us in making workplaces safer for everyone! Don't forget to like, share, and subscribe for more innovative technology solutions.
📢 Keywords: Worker Safety, YOLOv7, Deep Sort, Object Detection, Workplace Safety, Safety Violation Detection, MongoDB Integration, Smart Safety Monitoring.