Computer Vision B.Tech & M.Tech Intermediate

Analyzing products defects with a local VLM on Arduino UNO Q

This Arduino App Lab project cascades a lightweight anomaly detection model with a VLM to describe product faults, all running locally on the UNO Q. Clone the project to your App Lab to get started.

Suitable forB.Tech & M.Tech Computer Vision students
Build time1-2 weeks
LevelIntermediate
Available atAjvika Labs, Kakinada

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About this project

Pairs a lightweight anomaly-detection model with a local vision-language model in Arduino App Lab, so that once a product defect is flagged, the VLM generates a plain-language description of the fault, entirely on-device on the UNO Q.

Source: Arduino Project Hub (https://projecthub.arduino.cc/sologithu/analyzing-products-defects-with-a-local-vlm-on-arduino-uno-q-2f1104) by sologithu. On Arduino Project Hub: 323 views, 3 respects.

Technologies used

Arduino UNO QVLMArduino App Lab

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.