Gesture Detection on Arduino UNO Q using Edge Impulse – working model
Computer Vision B.Tech & M.Tech Intermediate

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 cla

  • Suitable forB.Tech & M.Tech Computer Vision students
  • Build time1-2 weeks
  • LevelIntermediate
  • Available atAjvika Labs, Kakinada
Get this project Enquire online Call

About this project

A real-time hand-gesture recognizer for the Arduino UNO Q using a vision model trained in Edge Impulse. A USB webcam streams live video that's classified entirely on-device, part of Qualcomm's Startup-Demos collection showcasing Arduino's AI tooling paired with Edge Impulse.

Source: Arduino Project Hub (https://projecthub.arduino.cc/smartcoder00/gesture-detection-on-arduino-uno-q-using-edge-impulse-8a7af4) by smartcoder00. On Arduino Project Hub: 7378 views, 9 respects.

Technologies used

Arduino UNO QEdge ImpulseUSB webcam

What you get

  • Working project / hardware kit, tested before delivery
  • Complete source code with explanation
  • Project demo and guidance for your viva
  • Project report, PPT and IEEE paper support (on request)
Delivery & Payment
Delivery takes a minimum of two weeks from the date your inquiry is confirmed. Payment is in two parts: • 50% advance to start the project • Remaining 50% before delivery Note: • Documentation and PPT are not included by default • If you need documentation/PPT, it can be arranged for extra time and cost We'll confirm the exact timeline and cost with you after reviewing your requirements.

Related Computer Vision projects

Give Your Treadmill Eyes with Edge AI – Computer Vision project
Computer Vision
B.Tech & M.Tech Advanced

Give Your Treadmill Eyes with Edge AI

Turn any treadmill into a Bluetooth smart treadmill using a camera and Edge AI running locally on the Arduino VENTUNO Q.

View project
Hand Gesture Recognition with Qualcomm Intelligent Multimedia SDK – Computer Vision project
Computer Vision
B.Tech & M.Tech Beginner

Hand Gesture Recognition with Qualcomm Intelligent Multimedia SDK

Gesture-based interaction is becoming an increasingly important part of modern edge AI applications, enabling touchless control for robotics...

View project
Restricted Zone Violation Detection with Foot-Based Spatial Intelligence – Computer Vision project
Computer Vision
B.Tech & M.Tech Intermediate

Restricted Zone Violation Detection with Foot-Based Spatial Intelligence

Restricted areas are common in industrial facilities, warehouses, manufacturing environments, and other safety-critical locations. Monitorin...

View project
YOLOv11 Object Detection: From CPU (4 FPS) to NPU (166 FPS) Acceleration – Computer Vision project
Computer Vision
B.Tech & M.Tech Intermediate

YOLOv11 Object Detection: From CPU (4 FPS) to NPU (166 FPS) Acceleration

Modern edge AI applications require both accuracy and speed. In this project, you'll learn how to deploy and optimize a YOLOv11 object detec...

View project