Computer vision plays a fundamental role in modern cash management.
Almost every time a banknote is withdrawn or spent, it is checked for compliance and authenticity, ensuring the currency’s protection against counterfeiting. Banking is one of the few sectors where 100% accuracy is not just desirable but essential, and computer vision must meet this high standard.
A sample of computer vision applications we developed for the banking industry:

Recognition of currency and value for banknotes through visible or multi-spectral images

Measurement of weariness, integrity and compliancy of banknotes

Detection of counterfeit with limited data
Case studies
Blog posts
Why a Timeline Profiler Finds What a Code Profiler Misses
The right profiler is not the most powerful one in the abstract. It is the one that can see the…
How We Built Metrically Accurate 3D Annotations from a Single Camera
We show how markerless camera calibration can be approached in urban environments and beyond.
AI and 3D Vision on the Renesas RZ/V2H: From Edge Processing to Smart Camera Reality
A complete AI and 3D stereo vision pipeline running on a single embedded SoC to lay the foundation…
Multi-modal foundation models out of the lab: a reality check
In this post we discuss the applicability of multi-modal foundation models (VLM) to solve real…
Onsemi Hyperlux ID AF0130: Industrial iToF Depth Sensor Evaluation
Hands-on evaluation of the Onsemi Hyperlux ID AF0130 iToF sensor. Real-world testing reveals…
Beyond the Frame: What Are Event Cameras and Why Do They Matter?
A deep dive into event cameras: the hardware, software challenges, and real-world applications of…











