Face Recognition Security System for NVIDIA Jetson (Nano) & RaspberryPi using TensorRT

Face recognition with Google FaceNet architecture and retrained model by David Sandberg (github.com/davidsandberg/facenet) using TensorRT and OpenCV.
This project is based on the implementation of l2norm helper functions which are needed in the output layer of the FaceNet model. Link to the repo: github.com/r7vme/tensorrt_l2norm_helper.
Moreover, this project uses an adapted version of PKUZHOU's implementation of the mtCNN for face detection. More info below.

This Project's Jetson Nano source code based on the source of nwesem (https://github.com/nwesem/mtcnn_facenet_cpp_tensorRT)

Hardware

• NVIDIA Jetson Nano
• Raspberry Pi 4
• Raspberry Pi v2 camera
• Button for Raspberry Pi

Please read README.md in all of JetsonNano, RaspberryPi directories. Each README file describes the flow of each device.

Be Careful.

We used two Raspberry Pi for this project. If you want to use more Raspberry Pi, there is nothing to do you should. Just be careful Raspberry Pi's ID. ( If you want to know about the Raspberry Pi ID, read the README.md in Raspberry Pi Derectory. )