Coin Counter
The Challenge
Counting large volumes of coins by hand is slow and error-prone — a daily grind for cashiers, small businesses, and collectors. Hardware coin counters solve it, but they are expensive, stationary, and overkill for most users. The idea: turn the phone people already carry into the counting machine. Worn coins, overlapping piles, and harsh indoor lighting defeat demos trained only on neat studio photos. Cashiers also need offline continuity when till-area connectivity drops mid-count. Real tills add motion blur from hurried hands, mixed lighting across store brands, and staff who will abandon any flow that needs a training seminar before the first count.
What We Built
We built a mobile app that uses the device camera and on-device image recognition to identify, classify, and count coins in real time. Point the camera at a pile of coins and the app detects each denomination, keeps a running total, and lets the user save or share counts. The recognition pipeline was tuned for overlapping coins, varied lighting, and worn faces — the messy conditions real users actually shoot in. We focused on resilient capture guidance, offline-capable counting flows, and save or share paths for shift handoffs—without publishing invented accuracy marketing numbers. We invested in capture guidance, offline persistence, and honest uncertainty states, then validated on messy partner samples instead of only studio decks.
- Real-time coin detection and classification through the camera
- Per-denomination totals with saved count history
- On-device processing — works without a connection
- Built for iOS and Android
