Face and Eye Detection Using OpenCV With Raspberry Pi

Software Used

1. Raspian OS

This is the recommended OS for raspberry pi. You can also installed other OS from third party. Raspbian OS is a Debian-based OS. We can install it from the NOOBS installer. You can get the link:face and eye detection using opencv with raspberry pi

2. PuTTY

PuTTY is an SSH and telnet client, developed originally by Simon Tatham for the Windows platform. PuTTY is open source software that is available with source code and is developed and supported by a group of volunteers. Here we are using PuTTY for accessing our Raspberry Pi remotely. You can download PuTTY here.

3. OpenCV

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects and extract 3D models of objects.

Hardware Used

1. Raspberry Pi

This is the latest version of Raspberry Pi. In this we have inbuilt Bluetooth and WiFi, unlike previously where we had to use a WiFi dongle in one of its USB port. There are total 40 pins in RPI3. Of the 40 pins, 26 are GPIO pins and the others are power or ground pins (plus two ID EEPROM pins). There are 4 USB ports, 1 Ethernet slot, one HDMI port, 1 audio output port and 1 micro USB port and also many other things you can see the diagram below. Also, we have one micro SD card slot wherein we have to insert a micro SD card with the recommended operating system installed. There are two ways to interact with your Raspberry Pi. Either you can interact directly through HDMI port by connecting HDMI to VGA cable and use a keyboard and mouse, or else you can interact from any system through SSH(Secure Shell). (For example in Windows you can interact from putty ssh.) Figure is given.schematic face and eye detection using opencv with raspberry pi

2. Raspberry Pi Camera

The Raspberry Pi camera module can be used to take high-definition video, as well as still photographs. It’s easy to use for beginners, but has plenty to offer advanced users if you’re looking to expand your knowledge. There are lots of examples online of people using it for time-lapse, slow-motion and other video cleverness. You can also use the libraries we bundle with the camera to create effects.

For more detail: Face and Eye Detection Using OpenCV With Raspberry Pi

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