Gesture Detection on Arduino UNO Q using Edge Impulse
This project demonstrates real-time hand gesture recognition on the Arduino® UNO Q, highlighting its edge AI capabilities using a vision model trained with Edge Impulse. A USB webcam streams live video to the system, where an AI model detects and classifies hand gestures directly at the edge, without relying on cloud inference. The application is part of the Qualcomm Startup-Demos repository and showcases how computer vision workloads can be deployed on compact hardware using Arduino’s AI tooling and Edge Impulse integration.
Devices & Components
1
Arduino® UNO™ Q 2GB
Hardware & Tools
Edge Impluse
Visual Code
Software & Tools
Arduino App Lab
Project description
Code
Gesture Detection on Arduino® UNO Q using Edge Impulse
Real-time hand gesture AI on Arduino UNO Q
Documentation
Gesture Detection
From Startup Demos
https://github.com/qualcomm/Startup-Demos/blob/main/CV_VR/IoT-Robotics/GestureDetection/README.md
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