Hand Gesture Recognition with Qualcomm Intelligent Multimedia SDK – working model
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, industrial automation, smart kiosks, accessibility solutions, human-machine interfaces, and AR/VR experience

  • Suitable forB.Tech & M.Tech Computer Vision students
  • Build time1-2 weeks
  • LevelBeginner
  • Available atAjvika Labs, Kakinada
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About this project

Builds a real-time hand-gesture recognition pipeline on Qualcomm-powered edge hardware using the Qualcomm Intelligent Multimedia (QIM) SDK. Several on-device AI models work together to turn a live video feed into gesture commands for touchless control in robotics, industrial automation, kiosks, accessibility tools, or AR/VR, with all processing kept on-device for low latency and privacy.

Source: Arduino Project Hub (https://projecthub.arduino.cc/rajanmistry/hand-gesture-recognition-with-qualcomm-intelligent-multimedia-sdk-e5f176) by rajanmistry. On Arduino Project Hub: 3220 views, 1 respects.

Technologies used

Qualcomm QIM SDKComputer VisionEdge AI

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.

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