Deploy Facial Recognition on reComputer
Introduction
This wiki will guide you through using a reComputer equipped with a Hailo NPU to implement real-time facial recognition. In this project, we use SCRFD-10G for efficient face detection, capable of quickly and accurately detecting faces of various scales, including small faces, ensuring real-time performance. At the same time, we employ the ArcFace-MobileFaceNet model for lightweight face recognition, which leverages the ArcFace loss function to enhance recognition accuracy and enable efficient identity verification.
Prepare Hardware
| reComputer AI Industrial R2000 | reComputer AI R2000 |
|---|---|
 |  |
Note: You need a USB camera as the input.
Install Hailo Software & Verify Installation
update the system
sudo apt update
sudo apt full-upgrade
Sometimes you may encounter the following issues during updates.
Get:1 http://deb.debian.org/debian bookworm InRelease [151 kB]
Get:2 http://deb.debian.org/debian-security bookworm-security InRelease [48.0 kB]
Get:3 http://deb.debian.org/debian bookworm-updates InRelease [55.4 kB]
Get:4 http://archive.raspberrypi.com/debian bookworm InRelease [39.0 kB]
Reading package lists... Done
E: Release file for http://deb.debian.org/debian/dists/bookworm/InRelease is not valid yet (invalid for another 58d 8h 26min 35s). Updates for this repository will not be applied.
E: Release file for http://deb.debian.org/debian-security/dists/bookworm-security/InRelease is not valid yet (invalid for another 84d 18h 23min 59s). Updates for this repository will not be applied.
E: Release file for http://archive.raspberrypi.com/debian/dists/bookworm/InRelease is not valid yet (invalid for another 84d 13h 13min 5s). Updates for this repository will not be applied.
E: Release file for http://deb.debian.org/debian/dists/bookworm-updates/InRelease is not valid yet (invalid for another 85d 0h 52min 29s). Updates for this repository will not be applied.
This is because the time on the Raspberry Pi is set incorrectly, and you need to manually set the time on the Raspberry Pi with command below:
# This command only you can connect google.com
sudo date -s "$(wget -qSO- --max-redirect=0 google.com 2>&1 | grep Date: | cut -d' ' -f5-8)Z"
After set your raspberry time, you can update your raspberry.
Set pcie to gen2/gen3(gen3 is faster than gen2)
Add following text to /boot/firmware/config.txt
#Enable the PCIe external connector
dtparam=pciex1
#Force Gen 3.0 speeds
dtparam=pciex1_gen=3
If you want to use gen2, please comment dtparam=pciex1_gen=3
Install hailo-all and reboot
Open terminal on the Raspberry Pi5, and input command as follows to install Hailo software.
sudo apt install hailo-all
sudo apt-get -y install libblas-dev nlohmann-json3-dev
sudo reboot
Check Software and Hardware
Open terminal on the Raspberry Pi5, and input command as follows to check if hailo-all have been installed.
hailortcli fw-control identify
The right result show as bellow:
Open terminal on the Raspberry Pi5, and input command as follows to check if hailo-8L have been connected.
lspci | grep Hailo
The right result show as bellow:
Run Project
Install Project
cd ~ && git clone https://github.com/Seeed-Projects/hailo-apps-infra
cd hailo-apps-infra
./install.sh
source venv_hailo_apps/bin/activate
Add your photo
cd /resources/face_recon/train
# change name to the name of the person to be recognized
mkdir name
Note: Place the photo of the person to be recognized into the folder that was just created.
Add information to the database
cd ~/hailo-apps-infra/hailo_apps/hailo_app_python/apps/face_recognition
python face_recognition.py --mode train
The right result show as bellow:
Run the project
Input the command below you will see a face recognition demo:
python face_recognition.py --input usb
Result
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