Safety Vest & Helmet Detection

This is a Convolutional Neural Network (CNN) trained to detect Personal Protective Equipment (PPE) compliance in an industrial setting. This model is trained using the MobileNet SSD Neural Network. This is part of our work to build smaller, faster Computer Vision models to perform real time pedestrian and object detect in different settings in the Safety, Surveillance and Compliance space in any industry. Our goal is to build these models that are small enough to run on the edge i.e in small devices like a drone.