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Philippine Paper Bill Authenticator for the Blind Using Image Processing — Thesis Design project by YenkoDev

Philippine Paper Bill Authenticator for the Blind Using Image Processing

Software as a Service

No

Category

Thesis Design

Clients

Confidential

Techstack

PythonTensorFlowEasyOCROpenCVRaspberry PiPyQt5

Purpose

Paper money feels identical to the touch, so a blind person has no dependable way to check a bill's value — or whether it is even real. A research team set out to close that gap with a device that could authenticate Philippine banknotes and simply say the denomination out loud, protecting visually impaired users from counterfeits and short-changing.

Description

We built a handheld unit that photographs a bill under ultraviolet light and runs it through a layered analysis: a deep-learning model judges whether it is genuine, edge and texture analysis inspects the security features, and text recognition reads the serial number and denomination. The verdict is spoken aloud, so the user knows a bill's value and validity the instant it is scanned, and the build includes accuracy and error-analysis reporting to back up how well it performs. It is the kind of assistive computer-vision problem — genuinely hard, genuinely useful — that we take on and ship.