Prevent accidents. Ensure worker safety.
Detect Non-compliances. Avoid Penalties.
Detect Un-attended Machines. Improve Productivity.
Detect Fire & Smoke. Avoid loss of human life / property / assets.
A food processing company is a leading manufacturer of spices in India. From the food safety and hygiene perspective, it is important that all employees working in the plant must wear a cap and gloves to ensure proper hygiene and avoid any contamination. The manual monitoring approach is inefficient and result in compliance violations. Hence the client is looking for automated solution to detect compliance violations.
Python, OpenCV, Tensorflow, Deep Learning
Implemented video streaming analytics solution, where stream of camera data is processed in real time. The cap and gloves detection algorithm is implemented using Tensorflow. This solution is deployed at the edge to provide continuous monitoring of people wearing cap or not. In case person is not wearing cap, an immediate alert is sent to configured email, and SMS text. The mobile app is provided to receive alerts on the mobile app with image of detected compliance violation.