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.

Feb 19, 2026

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MIT

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

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Latest commit to the master branch on Invalid date

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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