A safety vest/PPE is an essential supplement for anyone taking part in any industrial activities or a construction site. A Safety Vest is necessary when working on the roadside where other people can easily identify the vest. It plays an important role in keeping the workers safe.
So, having a Safety Vest and helmet with fluorescent colors such as green, yellow, orange makes it easier to locate anyone in any lighting condition. Also, industries can monitor whether their workers are wearing a safety vest from any place. Having a vest can reduce electrocution, electric shocks and prevent fire accidents.
Many big industries and companies around the world care about their worker’s safety and ensure that everyone follows a protocol while working. But how do they track them? CCTV will help to monitor their movement but doesn’t find whether a person is wearing a PPE/ Safety Vest or not. Let’s see how we can track on a real-time basis.
Things we are going to see:
- Problem Definition
- Data Gathering
- Model Building
- R&D and Results
Having a good and quality amount of data is a huge task. Many violations occur at the workplace like camera angle, light conditions, etc. We build our own dataset containing images with PPE and without PPE by gathering it from YouTube videos. We Generated around 2200 Images of PPE and without PPE for the training set and 600 Images for Test Set.
For pre-processing, we segregate the Blue mask and Green mask using the in the range from CV2. (we use this technique before the classification module).