During COVID pandemic there were no automated solutions for automating health parameters like heart/pulse rate, mask recognition and temperature. After the pandemic most of the offices will start for on-site work and schools will start, during this time we also need to take care if any employee or student is having correct body temperature and is wearing mask. Instead of hiring someone and risk their life to check temperature and mask for so much employees and students is tough task.
So to solve this problem we want to create an integrated 3D printed device which monitors their heart rate, temperature and checking are they wearing a mask using Edge Impulse model on AWS IoT Edukit and Embedded Camera.
Guide: Dr. Sonal Gore
All the Computer Vision are completely processed over ESP32 Cam using Deep Learning model. The Mask Detection model is trained on Edge Impulse and custom dataset and the generated library is used in ESP32 CAM.
Edge Computing: Means performing all computations directly at source of data instead of sending data to external server or cloud for processing.