Segment anything
A robotic vision inspection system using an NPU-accelerated segmentation model to spot outer-packaging defects in warehouse settings.
- Suitable forB.Tech & M.Tech Robotics students
- Build time1-2 weeks
- LevelIntermediate
- Available atAjvika Labs, Kakinada
About this project
Uses the NPU inside a Qualcomm Dragonwing IQ-9075 EVK to run a segmentation model for robotic inspection of packaging-box defects in warehouse scenarios, with a Flask web service exposing the detection pipeline over a USB camera feed.
Source: Arduino Project Hub (https://projecthub.arduino.cc/aplux/segment-anything-1c0494) by aplux. Licensed MIT. On Arduino Project Hub: 970 views, 5 respects.
Source: Arduino Project Hub (https://projecthub.arduino.cc/aplux/segment-anything-1c0494) by aplux. Licensed MIT. On Arduino Project Hub: 970 views, 5 respects.
Technologies used
Hardware components
- Qualcomm Dragonwing IQ-9075 EVK
- Type-C to Type-A USB hub
- Type-A USB camera
Software & tools
- QNN 2.36
- Python 3.12
- OpenCV (cv2)
- Flask (WSGI)
- Ubuntu 24.04
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.