Robotics B.Tech & M.Tech Intermediate

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.

Technologies used

Qualcomm DragonwingPythonOpenCVFlask

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.