About This Architecture
AI-powered smart currency detection system for visually impaired users combines Raspberry Pi 5 edge computing with YOLOv8 deep learning to identify Indian currency denominations in real time. Image acquisition flows through preprocessing (resize, noise removal, contrast enhancement) into YOLOv8 feature extraction and object detection, classifying notes from 10 to 500 rupees with confidence scoring. pyttsx3 offline text-to-speech converts recognition results to voice feedback through speakers, enabling hands-free operation via GPIO push button. This architecture demonstrates how edge AI eliminates cloud latency and privacy concerns for accessibility applications. Fork and customize this diagram on Diagrams.so to adapt the pipeline for other currency systems or assistive use cases.