We collaborated with BDTI and TryoLabs to create MaskCam, a real-world
demo showcasing the NVIDIA Jetson Nano’s deep learning capabilities.
EJ Technology Consultants was contracted by BDTI, a technology development and evaluation firm that specializes in embedded computer vision applications, to assist with evaluating the NVIDIA Jetson Nano’s suitability to real-world edge AI applications. The demo was a mask detection smart camera that we developed from an initial concept into a production-ready prototype. A video showing MaskCam in action is available on our YouTube channel.
MaskCam utilizes NVIDIA’s TensorRT library to implement a high-speed vision pipeline that runs live camera frames through a YOLOv4-tiny model trained to detect masked and unmasked faces. The optimized pipeline runs at 14FPS on the Jetson Nano. The program reports mask wearing statistics to a web server and saves recorded video if the number of unmasked faces is above a certain threshold.
EJ Technology Consultants contributed to the system design of the smart camera:
Wrote top-level system requirements and product specifications
Evaluated and selected hardware that met specifications while maintaining a low cost target
Integrated hardware drivers with embedded Linux operating system and troubleshot software/firmware where necessary
Performed system testing