This is a project of the face recognizer with Movidius on RaspberryPi 3B+ platform. The project also uses Django and Django REST framework which providing the web platform. The project would like to build a safety and intelligent face recognition system in AI era.
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GitHub: https://github.com/nature1995/Face_Recognition_System
Compatibility
The code is tested using Tensorflow r1.7 and Movidius NCSDK2 under Debin 2018-06-27（Kernel version:4.14） with django 2.1.1 and Python 3.5.
Real Product Images
Requirements
- Logitech HD Webcam C270
- Micro SD Card 32G
- Raspberry Pi 3 B+
- Intel Movidius Neural Compute Stick
The code requires Python 3.5, Tensorflow 1.7, as well as the following python libraries:
- Pillow
- django
- django-allauth 0.37.1
- django-widget-tweaks 1.4.3
- pip 18.0
- qrcode 6.0
- setuptools 40.4.3
Those modules can be installed using: pip3 install xxx.
Neural Compute Application Zoo
This repository is a place for any interested developers to share their projects (code and Neural Network content) that make use of the Intel® Movidius™ Neural Compute Stick (Intel® Movidius™ NCS) and associated Intel® Movidius™ Neural Compute Software Development Kit.
You can use the following url(NC App Zoo) or git command to use the ncsdk2 branch of the NC App Zoo repo:
git clone -b ncsdk2 https://github.com/movidius/ncappzoo.git
Install Django and Django REST framework
pip3 -V
sudo pip3 install -U setuptools
sudo pip3 install -U django
sudo pip3 install -U djangorestframework
sudo pip3 install -U django-filter
sudo pip3 install -U markdown
sudo pip3 install -U requests
Install Adafruit_Python_DHT library
git clone https://github.com/adafruit/Adafruit_Python_DHT.git
cd Adafruit_Python_DHT
sudo python3 setup.py install
cd
Install Adafruit_Python_BMP library
git clone https://github.com/adafruit/Adafruit_Python_BMP.git
cd Adafruit_Python_BMP
sudo python3 setup.py install
cd
Install psutil (process and system utilities)
sudo pip3 install psutil
rpi-mjpg-streamer
Instructions and helper scripts for running mjpg-streamer on Raspberry Pi.
A. Setup mjpg-streamer
Enable Raspberry Pi Camera module from raspi-config
$ sudo raspi-config
Install necessary packages for mjpg-streamer
$ sudo apt-get update
$ sudo apt-get install build-essential libjpeg8-dev imagemagick libv4l-dev git cmake uvcdynctrl
Build mjpg-streamer
$ sudo ln -s /usr/include/linux/videodev2.h /usr/include/linux/videodev.h
$ git clone https://github.com/jacksonliam/mjpg-streamer
$ cd mjpg-streamer/mjpg-streamer-experimental
$ cmake -DCMAKE_INSTALL_PREFIX:PATH=.. .
$ make install
Setup video4linux for Raspberry Pi Camera module
$ sudo modprobe bcm2835-v4l2
$ sudo vi /etc/modules
# add following line:
bcm2835-v4l2
$ sudo vi /boot/config.txt
# add following line if you want to disable RPi camera's LED:
disable_camera_led=1
Add yourself to the video group
$ sudo usermod -a -G video $USER
B. Run mjpg-streamer
1. Clone this repository
$ git clone https://github.com/meinside/rpi-mjpg-streamer.git
2-a. Run mjpg-streamer from the shell directly
# copy & edit run-mjpg-streamer.sh to your environment or needs
$ cp rpi-mjpg-streamer/run-mjpg-streamer.sh.sample somewhere/run-mjpg-streamer.sh
$ vi somewhere/run-mjpg-streamer.sh
# then run
$ somewhere/run-mjpg-streamer.sh
2-b. Or run mjpg-streamer as a service
systemd
# copy & edit systemd/mjpg-streamer.service file,
$ sudo cp rpi-mjpg-streamer/systemd/mjpg-streamer.service.sample /lib/systemd/system/mjpg-streamer.service
$ sudo vi /lib/systemd/system/mjpg-streamer.service
# then register as a service
$ sudo systemctl enable mjpg-streamer.service
# or remove it
$ sudo systemctl disable mjpg-streamer.service
# and start/stop it
$ sudo systemctl start mjpg-streamer.service
$ sudo systemctl stop mjpg-streamer.service
C. Connect
Connect through the web browser:
Most modern browsers(including mobile browsers like Safari and Chrome) will show the live stream immediately.
Notice
Virtualenv
pip3 install virtualenv
Run Virtualenv
source venv/bin/activate
sqlite3 数据库文件db.sqlite3 权限 666
chmod 666 db.sqlite3
django 所在文件夹 权限 775
chmod 777 xxx
Citation
Just can be used for non-business projects.
