Facial Recognition

Skill LevelArea of FocusOperating SystemPlatform/Hardware
AdvancedComputer Vision, Facial Recognition, Embedded, Security, Smart CitiesLinuxDragonBoard 410c

This project utilizes the power of the DragonBoard™ 410c from Arrow Electronics to run a facial recognition application, utilizing libraries like Caffe2 and OpenCV.

The main goal of the project is to demonstrate the power of the DragonBoard 410c to run a modern computer vision application for facial detection and recognition. Using powerful libraries like Caffe2 and OpenCV, the software finds faces in the image and use a DNN to classify the person.

The build instructions can be found in the README file in the GitLab link. Basically, you have to build the libs and install the application on the board.

Setup the webcam to scan your environment and find faces. Run the project as described in the GitLab link. The application will show a screenshot in the monitor periodically and will mark the faces detected with a bounding box. Names of recognized people are shown in the screen, and new people are tagged as unknown.

Project Screen
NameTitle/Company
AugustoQualcomm IoT Reference Center - FACENS
FelipeQualcomm IoT Reference Center - FACENS
Lucas MaxQualcomm IoT Reference Center - FACENS
Lucas MendesQualcomm IoT Reference Center - FACENS
Luccas SchardtQualcomm IoT Reference Center - FACENS

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