Incredibly Secure Iris Scanners

This AI Iris Scanner Differentiates Between the Living & Dead

It is possible to use a dead person's fingerprint to unlock devices, but a team of Polish researchers recently developed a new AI-powered iris scanner that can tell the difference between the living and the dead. This may sound like a macabre concept but as more devices employ biometric security features, this iris scanner could help keep secrets even in the event of death.

In order to create this specific AI-powered iris scanner, the researchers developed and trained the system on a database of iris scans from various times after death, as well as samples of hundreds of living irises. In its current state, the AI-powered iris scanner can only detect the irises of a person who has been deceased for 16 hours or more. The algorithm is still being improved though, so this time may be drastically cut as research continues.
Trend Themes
1. AI-powered Iris Scanners - The development of AI-powered iris scanners that can differentiate between the living and the dead presents an opportunity for enhanced biometric security.
2. Enhanced Biometric Security - The advancement of iris scanners that can distinguish between living and deceased individuals provides an opportunity for improved security measures in various industries.
3. Improving Iris Scan Algorithms - Continued research and development to enhance iris scan algorithms could lead to faster and more accurate identification of living and deceased individuals.
Industry Implications
1. Technology - The technology industry could benefit from incorporating AI-powered iris scanners to strengthen security measures on devices.
2. Healthcare - The healthcare industry could utilize AI-powered iris scanners to ensure accurate patient identification, especially in cases involving deceased individuals.
3. Financial Services - Incorporating AI-powered iris scanners in the financial services industry could enhance identity verification processes and prevent fraud, even in the event of a customer's death.

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