Automated image-based coin grading and assessment platform
This technology uses machine learning to automatically grade and classify coins by analyzing photographs. A model is trained on a large set of coins that have already been graded by human experts, learning to recognize the visual features that distinguish one grade from another. When a new coin photo is submitted, the system analyzes it and assigns a grade automatically, replicating what a trained human grader would do. This removes the need for a specialist to manually inspect every coin and can deliver consistent, fast assessments at scale.
What you could build
A SaaS or API-based coin grading service that dealers, online marketplaces, and third-party grading companies could embed into their workflows to automate initial or final grade assignment; primary buyers would be numismatic grading services (like NGC or PCGS competitors), online coin marketplaces, and estate auction platforms.
Who in Virginia should care
Coin dealers, auction houses, and estate sale companies operating in Virginia's active numismatic market, as well as fintech or collectibles marketplace startups in the Northern Virginia tech corridor.
Readiness: Concept
Concept — described but not yet demonstrated. Lab validated — supported by experimental results in the patent. Prototype likely — the text describes a built, working embodiment.
Readiness is inferred from the patent text, not from a lab visit.
The record
- Inventors
- Luke F. Lester, Creed F. Jones, Jianzhu Chen, Michael K. Trail, Madalyn A. Killian, Mohammed Humadi, Christopher Fritsch
- Filed
- Patent pending — filed October 3, 2024
- Status
- Application
- Publication number
- US20250246039A1
Ready to talk?
Virginia Tech Intellectual Properties handles licensing for this technology.
Prosim summaries are generated from public patent text and are not legal advice.