Cloud Based Surveillance using ESP32 CAM

Abstract

The idea of surveillance has always lingered around from community to guards to police to CCTV to Drones. It is just getting upgrade with the time. The recent times with the involvement of artificial intelligence the surveillance and cloud monitoring has changed the way and efficiency. This work involves similar surveillance techniques in which we intend to detect people not wearing a mask. The project was an inspiration for the current pandemic situation and to be ready for the future. The work also includes cloud monitoring and streaming the live footage on the server. A Convolutional Neural Network is developed to predict whether someone is wearing a mask or not. It is deployed on a self-made server and can be monitored remotely. The camera used to capture the video is ESP32. This proposed work has huge implementation around the world given the present situation and has the potential to be used in the future.