NodeJS / Tensorflow

CrowdTracker is a COVID-19 spread monitoring and prevention system for closed environments. It implements Stereo Vision, IoT, and AI to continually calculate the risk of infection in closed ambients such as hospitals, banks, or local businesses. The risk is assessed considering the distance between people, the correct use of masks, the high temperature of bodies, and symptoms detected from audio data. The final product is an embedded device which synchronizes its data with a web platform and sends notifications to the authorities if the risk is too high in an ambient. Then, people can feel safe when visiting an establishment.

Launch project