CabinSense AI: HoD Presence Detector Using Arduino UNO Q
An Arduino UNO Q runs a private Edge Impulse vision model locally and publishes a live, privacy-aware HoD cabin availability status to local and public dashboards.
- Suitable forB.Tech & M.Tech Computer Vision students
- Build time2-3 weeks
- LevelAdvanced
- Available atAjvika Labs, Kakinada
About this project
Runs a private Edge Impulse vision model locally on an Arduino UNO Q to detect whether a Head-of-Department's cabin is occupied, then publishes that availability status live to both local and public-facing dashboards without sending any video off-device.
Source: Arduino Project Hub (https://projecthub.arduino.cc/vijaybarkade/cabinsense-ai-hod-presence-detector-using-arduino-uno-q-9efdff) by vijaybarkade. On Arduino Project Hub: 193 views, 1 respects.
Source: Arduino Project Hub (https://projecthub.arduino.cc/vijaybarkade/cabinsense-ai-hod-presence-detector-using-arduino-uno-q-9efdff) by vijaybarkade. On Arduino Project Hub: 193 views, 1 respects.
Technologies used
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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