Personal protective equipment detection

Using existing video cameras, the company needed to detect the personal protective equipment (PPE) worn by employees to verify that it was being used in the appropriate locations and for the required tasks, while improving workplace safety practices.

Using computer vision techniques based on convolutional neural networks (CNNs), the solution detects and recognizes personal protective equipment by identifying the body regions where PPE should be worn and the type of equipment used in each area. It also generates an indicator that verifies whether the PPE is properly covering the corresponding body part.

The system analyzes video images and automatically evaluates PPE usage, helping prevent potentially hazardous incidents in the workplace while ensuring compliance with safety regulations.