Barbalho12 / face-detector

Authentication system with facial identification using a BeagleBone Black

Face Detector

Authentication system with facial identification using a BeagleBone Black

Network settings on host

sudo su
iptables --table nat --append POSTROUTING --out-interface wlan0 -j MASQUERADE
iptables --append FORWARD --in-interface eth1 -j ACCEPT
echo 1 > /proc/sys/net/ipv4/ip_forward

Network settings on Beagle

sudo su
route add default gw 192.168.7.1
echo "nameserver 8.8.8.8" >> /etc/resolv.conf
/etc/init.d/networking restart

Installing OpenCV on BeagleBone Black

Dependency Installation:

sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
udo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

# Download OpenCV: 
wget https://github.com/opencv/opencv/archive/3.1.0.zip

# Finalizado o download execute: 
unzip opencv-3.1.0.zip
cd opencv-3.1.0/
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make
sudo make install

Note: To run the program you still need to install other libraries that can be found at the repository algorithm-analysis-in-beagle:

Configurando ambiente

To run the server, just compile the project in QT and run it.

To run the project on the client, run the script compila.sh:

./complila.sh

And then execute passing the parameters:

• IPCAM (camera IP or 0 case connected via usb)
• IP_SERV (server IP)
• SLEEP_TIME (wait time between each read)
• SIZE_FACE_MIN (minimum face size detected in pixels)

./detectFace-client IP_CAM IP_SERV SLEEP_TIME SIZE_FACE_MIN

By default:

• IPCAM=0
• IP_SERV=192.168.7.1
• SLEEP_TIME=4
• SIZE_FACE_MIN=200

Print screen of the system in operation