MaskCam is a really cool project I worked on to evaluate the NVIDIA Jetson Nano's capability for deploying machine learning models on edge devices. It's a connected, machine learning-enabled smart camera that counts the number of masked and unmasked faces in an area and sends the statistics to a remote web server. This video gives a demonstration of MaskCam in action.

My colleague and I will be showing this video and talking more about the project at the NVIDIA GTC conference next week. We'll also be presenting it at the Embedded Vision Summit in May.

To learn more about MaskCam, please see the links below!

How to set up MaskCam on your own Jetson Nano:    • MaskCam: How to Set Up your NVIDIA Je...  
Link to detailed report on MaskCam: https://www.bdti.com/maskcam
Link to GitHub repo: https://github.com/bdtinc/maskcam
Link to NVIDIA GTC 2021 conference talk (you need to register to see the talk, but it's free): https://www.nvidia.com/en-us/on-deman...
Link to Embedded Vision Summit presentation: will be added when it's ready!

I worked on this project with BDTI and Tryolabs, which are both excellent consulting companies in the machine learning and computer vision space. Check out their sites if you'd like to learn more about them!

BDTI: https://www.bdti.com
Tryolabs: https://www.tryolabs.com