Edge-AI Currency Classifier with ESP32-CAM & Edge Impulse — Low-Cost Smart Recognition System
Build a real-time Indian currency recognition system using ESP32-CAM and TinyML with LEDs and serial output for intuitive feedback.
- Suitable forB.Tech & M.Tech Computer Vision students
- Build time1-2 weeks
- LevelIntermediate
- Available atAjvika Labs, Kakinada
About this project
A low-cost real-time currency recognizer for Indian banknotes, built on an ESP32-CAM with a TinyML model trained in Edge Impulse, giving simple LED and serial-output feedback on the denomination it sees.
Source: Arduino Project Hub (https://projecthub.arduino.cc/rinme/edge-ai-currency-classifier-with-esp32-cam-edge-impulse-low-cost-smart-recognition-system-01349b) by rinme. On Arduino Project Hub: 2525 views, 0 respects.
Source: Arduino Project Hub (https://projecthub.arduino.cc/rinme/edge-ai-currency-classifier-with-esp32-cam-edge-impulse-low-cost-smart-recognition-system-01349b) by rinme. On Arduino Project Hub: 2525 views, 0 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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