|Skill Level||Area of Focus||Operating System||Platform/Hardware|
|Intermediate||Computer Vision, Education||Linux||DragonBoard 410c|
The project uses a camera input connected to the DragonBoard™ 410c from Arrow Electronics, and is designed to identify and read text in an image, and either recognizes it in its native language or translates it to another language.
The main goal of the project is to use the power of the DragonBoard 410c to help people with reading difficulty by running a computer vision application for text detection and recognition. Using powerful libraries, this app can find text in the image captured by the camera, transform it into a text string, and read that string using voice emulation.
Materials Required / Parts List / Tools
- DragonBoard 410c boards
- 12V wall adapter
- Micro SD Card (16GB)
- Logitech C920 Webcam
- USB Keyboard
- HDMI Monitor
Source Code / Source Examples / Application Executable
Build / Assembly Instructions
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.
You can use the project as a text to speech app, or you can use it for translation. Point the camera at the text and select the language for translation. The app will read it in your native language. A usage guide for the app interface can be found in the GitLab repository as well.
|Augusto||Qualcomm IoT Reference Center - FACENS|
|Felipe||Qualcomm IoT Reference Center - FACENS|
|Lucas Max||Qualcomm IoT Reference Center - FACENS|
|Lucas Mendes||Qualcomm IoT Reference Center - FACENS|
|Luccas Schardt||Qualcomm IoT Reference Center - FACENS|