|Skill Level||Area of Focus||Operating System|
Smart Cities, Smart Home
This project measures Ultra Violet (UV) index, infrared and visible light using sensors connected to the DragonBoard 410c. Sensor data is sent to a Sparkfun cloud server, and an android app is designed to give the user tips to help protect themselves against health hazards caused by UV exposure. It also is designed to adjust compatible LED lamps to reduce energy usage during the day.
The Sunlight Sensor project was created during an IoT Hackathon challenge organized by Qualcomm Technologies, Inc. in Brazil. The goal of the project was to create an application that spreads awareness about health hazards caused by harmful UV radiations in our environment and allow users to take appropriate precautions. As an extension to the application, users can also use the daylight information to control Bluetooth LED lamps to optimize energy usage, hence contributing towards a smart home / smart city concept.
Build / Assembly Instructions
Materials Required / Parts List / Tools
- DragonBoard 410c Boards
- 12v wall adapter
- Sensor Mezzanine from 96boards.org or Seedstudio.com
- Grove sunlight sensor
Source Code / Source Examples / Application Executable
- C++ code. Takes sensor readings and saves it in a text file
- Python code. Reads the saved text file and sends the sensor data to the Sparkfun cloud server
- Android app apk with the user interface