Smart Light

Skill LevelArea of FocusOperating SystemPlatform/Hardware
AdvancedArtificial Intelligence, Computer Vision, Embedded, IoT, Security, Smart CitiesLinuxDragonBoard 410c

This project is an intelligent lighting design that is meant to control a luminaire based on a computer vision system running on DragonBoard™ 410c from Arrow Electronics. The control manages the luminous intensity and power drive of the luminaire according to the amount of people detected in the environment.

The main goal of this project is to demonstrate how you can build a high-end Smart Cities solution with the DragonBoard 410c. Efficient use of resources are a benefit of smart lighting.

Tracking Image
In this project you will need some electronics knowledge to build the control board. This board is an interface between the Mezzanine and the lamp. For the code, you will basically install the libraries on the board and install the application. Detailed step-by-step instructions are in the GitLab source code link. You will need to install the board onto the lamp that you want to control. Again, some electrical knowledge is needed. After installing the camera, you are ready to run the application.
Our application uses the video captured from the camera to identify if there are people in the environment. Point the camera at the region that you wish to control. When you run the project, it will run the computer vision application. If people are detected in the region, the lamp will be activated by the Mezzanine and control board.
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