Raspberry Pi Facial Recognition Using AWS Rekognition And Pi-Timolo


Developers, Raspberry Pi enthusiasts and makers that have projects that could benefit from facial recognition might be interested in a new Raspberry Pi facial recognition system which has been created by Hackster user Anton.

Full documentation on how to create your very own facial recognition system using a Raspberry Pi 3 Model B, Raspberry Pi Camera module, Raspberry Pi Camera (F) Night Vision Camera and Amazon Web Services Rekognition.

Raspberry Pi Facial Recognition

Pi-detector is used with Pi-Timolo to search motion generated images for face matches by leveraging AWS Rekognition. In its current state, matches are wrote to event.log. With some additional creativity and work, you could send out a notification or allow/deny access to a room with minimal changes. The install script will place the appropriate files in /etc/rc.loal to start on boot.

Build Requirements
• Raspberry Pi (Tested with Rpi 3)
• Picamera
• AWS Rekognition Access (Free tier options available)

As an alternative, this set of scripts can be modified to watch any directory that contains images. For example, if you collect still images from another camera and save them to disk, you can alter the image path to run facial recognition against any new photo that is created.

AWS Rekognition – Before installing, it is best to get up and running on AWS. For my project, I am using the AWS Free Tier service. Using this allows you 5000 API calls per month, which is good enough for this project. Login to your console and create a new IAM user that has Administrative rights to Rekognition.

For more information on the new Raspberry Pi facial recognition Pi-detector jump over to the Hackster website for details by following the link below.

If you enjoy building Pi projects you might be interested in our comprehensive list of Raspberry Pi displays, HATS and small screens.  If you found this article interesting you might also be interested in this list of awesome Raspberry Pi Zero projects we have put together.

Source: Hackster : Adafruit

Filed Under: Camera News, DIY Projects, Hardware, Top News