From TinyML to VLMs: Bringing Visual Intelligence to App Lab – working model
Computer Vision B.Tech & M.Tech Intermediate

From TinyML to VLMs: Bringing Visual Intelligence to App Lab

Detecting objects is normally half the solution. This Arduino App Lab project cascades a lightweight TinyML model with a local VLM to bring contextual descriptions of the scene. The TinyML detects, while the VLM explains! Run the application and view

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

Chains a lightweight TinyML detection model with a local vision-language model (VLM) in Arduino App Lab, so that detecting an object is only the first step: the TinyML model spots it, and the VLM then generates a contextual description of the scene, with both results shown together in the UI.

Source: Arduino Project Hub (https://projecthub.arduino.cc/sologithu/from-tinyml-to-vlms-bringing-visual-intelligence-to-app-lab-52d043) by sologithu. On Arduino Project Hub: 762 views, 3 respects.

Technologies used

Arduino UNO QTinyMLVLMArduino 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.

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