Philippine Currency Counterfeit Detector Using Image Processing

Clients

Techstack

Purpose

Checking a banknote by hand relies on a trained eye and good lighting, and even then the security features are easy to fake past a casual glance. A research team wanted to automate the job — recognize the denomination and verify the features that separate a real Philippine bill from a counterfeit, with no manual inspection.

Description

We built a scanner that examines a banknote feature by feature: it inspects the watermark, security thread, and see-through print, reads the serial number and Baybayin script markings, and uses color analysis and a deep-learning classifier to pin down the denomination. The result is announced through audio prompts, and the entire scanning workflow runs on the device itself with a simple operator screen. It is a detailed, multi-layered computer-vision problem — the kind of build we take on and ship.