|Skill Level||Area of Focus||Operating System|
Gaming, Smart Home
The project is designed to implement a program that can recognize simple hand gestures of rock, paper and scissors on a DragonBoard™ 410c development board from Arrow Electronics that is hosting a Debian operating system, using Python development language and Open CV vision processing library.
Aim of this demo is to introduce developers to the concept of image recognition and image processing on the DragonBoard 410c. Using a popular game of “Rock, Paper and Scissors”, developers can get familiar with the basic process of image collection, target image acquisition and recognition program design.
Build / Assembly Instructions
Materials Required / Parts List / Tools
Source Code / Source Example / Application Executable
Build / Assembly
- Install the Linux operating system on DragonBoard 410c
- Install the opencv-python library by apt-get install opencv-python command
- Copy codes to the user directory
- Run python test3.py
After startup, put your hand on the red rectangular box region and the system will automatically detect hand gesture at intervals and output the hand gesture type, recognizing three hand gestures, namely rock, paper and scissors.