Trust Stamp, the AI-powered, Privacy First Identity CompanyTM announces that it is filing a patent for an AI-powered process that improves the performance of biometric-based age estimation algorithms. Increased regulatory pressure and the proliferation of age-restricted content has produced a robust and rapidly growing market for low-friction age verification.  Trust Stamp already offers an AI-based age estimation service, having announced its product on March 13, 2024.  With this new algorithm, error rates in AI-based estimation are reduced, and Trust Stamp will be able to more easily tailor results to complex client requirements.

Dr. Norman Poh, Chief Science Officer of the Company, commented, “This new patent application will represent Trust Stamp’s latest innovation in age estimation. The algorithm builds on the Bayesian framework to not only address the inherent uncertainty in predicting human’s age but also in ways that can reduce the effect of over and under estimation had raw age values been used. Moreover, the solution allows us to produce age category probabilities that can be easily tailored to different clients’ requirements and even to target demographics, thus making the age estimation much more reliable and targeted.”

Also Read: PagerDuty Unveils Innovations for the PagerDuty Operations Cloud To Improve Operational Efficiency

Andrew Gowasack, President of the Company, commented, “With this new innovation, we fully expect our age estimation performance to outpace legacy products.  Calibration and categorization of the AI outputs will be an attractive process improvement for clients who are seeking a more accurate and customized solution for online age estimation.”

SOURCE: GlobeNewsWire