AI-Powered Banknote Processing

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What Makes Our Machines Different

Our AI platform analyzes every pixel of every banknote — and the relationships between them across multiple layers — to make classification decisions that no rule-based system can match. The result: dramatically better detection of counterfeits, tape, graffiti, and fitness defects.

The new CIS with full-range UV eliminates the need for separate UV point sensors, while AI-based imaging replaces the mechanical tape detector — removing the noisiest component in the machine. The result: significantly quieter, physically smaller, and tape detection accuracy jumps to near 100%, up from the industry best of 64.58%.

This is only possible because our Analog NPU (co-developed with Mythic) is small enough to fit inside a desktop banknote machine. Competing GPU solutions like NVIDIA Jetson are simply too large, too expensive, and require heatsinks that would not fit. Our NPU's low power draw means a minimal heatsink — keeping the machine compact.

The data-driven approach also means no programming is required to adapt to new currencies or new counterfeits — anyone can retrain the model with new sample data. We hold exclusive rights to this technology in the banknote industry.

Coming in early 2027: Starting with a 2-pocket fitness sorter, we will apply this AI platform across our entire product lineup. We are accepting early testers — selected dealers who collaborate on building the AI model and get first-mover advantage in their market.