AI software that can detect differences in substances at a one micron resolution
Overview
IBM Crypto Anchor Verifier, brings together innovations in AI and optical imaging to help prove the identity, authenticity or quality of products or substances in the field, Using a simple attachment to commercially available smartphones, AI and machine learning techniques, recognizing the optical characteristics of a substance, product or object. Even if you’re disconnected from the network.
Use cases
The Gemological Institute of America is using the Crypto Anchor Verifier to help evaluate and grade diamonds by capturing and creating 3D model images of diamonds and predicting their clarity grade. In the future, GIA will explore expanding access to this grading capability to retailers as part of their mission to protect consumers and ensure they trust in diamonds.
A team of IBM Research and iX Mobile & XR resources worked with a large pharmacy chain to create two PoT applications designed to help pharmacists move more quickly and with more confidence. A Pill Verification app leveraged the Crypto Anchor Verifier to distinguish between two medications identical to the human eye, and a Pill Counting app enabled pharmacy technicians to count prescriptions hands-free and with greater accuracy.
Earlier this year, IBM Research worked with a large food products company to detect disease on cacao leaves using the Crypto Anchor Verifier. The verifier was able to detect disease within hours of a cacao leaf being infected and could track disease progression on the same par as a human expert. The client is now exploring using the verifier to detect disease on cocoa pods as well.
The Gemological Institute of America is using the Crypto Anchor Verifier to help evaluate and grade diamonds by capturing and creating 3D model images of diamonds and predicting their clarity grade. In the future, GIA will explore expanding access to this grading capability to retailers as part of their mission to protect consumers and ensure they trust in diamonds.
A team of IBM Research and iX Mobile & XR resources worked with a large pharmacy chain to create two PoT applications designed to help pharmacists move more quickly and with more confidence. A Pill Verification app leveraged the Crypto Anchor Verifier to distinguish between two medications identical to the human eye, and a Pill Counting app enabled pharmacy technicians to count prescriptions hands-free and with greater accuracy.
Earlier this year, IBM Research worked with a large food products company to detect disease on cacao leaves using the Crypto Anchor Verifier. The verifier was able to detect disease within hours of a cacao leaf being infected and could track disease progression on the same par as a human expert. The client is now exploring using the verifier to detect disease on cocoa pods as well.