Banknote Sorter
AI Deep Learning Banknote Sorter
The AI deep learning banknote sorter is a banknote image-processing system that performs denomination identification, counterfeit detection, and condition inspection using a high-resolution CIS (Contact Image Sensor) and AI deep learning image-processing technology.
It acquires and analyzes an image of the entire banknote, delivering high recognition accuracy and supporting classification and counterfeit detection for banknotes from many countries.
Main Functions
AI Deep Learning-Based Banknote Recognition
AI deep learning algorithms automatically identify banknote denominations and determine authenticity.
Ultra-High-Speed Image Processing
Processes up to 600 banknotes per minute and supports real-time image analysis.
Simultaneous Multi-CIS Processing
Processes up to 4 CIS sensors and up to 4 image frames simultaneously for high throughput.
Multi-Wavelength Image Analysis
Uses R, G, and B images as well as IR (infrared) and UV (ultraviolet) images for precise counterfeit detection.
OCR, OMR, and Barcode Recognition
Automatically recognizes text, marking data, and barcodes on banknotes for integration with various financial and automation systems.
Banknote image in visible light
Banknote image in infrared light
Banknote image in ultraviolet light
Highlights
AI deep learning-based banknote recognition
Processing speed of up to 600 notes/min
Simultaneous processing of up to 4 CIS units
Simultaneous processing of up to 4 image frames
200 × 100 pixel image acquisition
RGB, IR, and UV image processing
Automatic denomination identification
Counterfeit banknote detection
Hole and corner damage detection
OCR, OMR, and barcode recognition
USB 2.0 PC interface support
Highlights
Financial institutions
Banknote sorting systems
Cash handling systems
Banknote classifiers
Counterfeit detection equipment
Cash automation equipment