Activity Recognition using Conv3D Neural Net

This is a demo of training a Convolutional 3D Neural Network to recognize activities like Smoking, Washing Hands, Talking on the cell phone etc., We used curated YouTube video clips as training data to train this model. The use case for this model could be hand hygiene compliance monitoring in Hospitals and safety and privacy violations monitoring in Industries and work places.

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.