Descartes Biometrics to demonstrate ear recognition software at CES on the Hill

Categories Biometrics News  |  Trade Notes

Descartes Biometrics Inc. will be showcasing its new HELIX flagship ear image recognition technology for enterprises at the International CES on the Hill event in Washington DC on April 15.

The HELIX ear recognition software identifies and authenticates an individual based on their unique ear shape.

Using a cross-platform library, HELIX does not need any additional hardware and can be integrated with most camera-equipped portable devices, including body cameras, webcams and smartphones for security and surveillance applications.

The biometric enterprise solution has a wide range of applications, including law enforcement and security, healthcare and forensics, transportation and border protection, mobile banking, and time and attendance.

Law enforcement can use HELIX to identify suspects in a crowd by using captured CCTV or body cam footage and cross-checking their ear shape against a database of stored profiles.

Additionally, a police officer can pull up an individual’s driver’s record within seconds when the body camera captures a shot of their ear.

Other applications include access management, in which an individual is granted access to a building’s entrance or across an international border based on a quick ear scan.

In the event that the person was previously granted access, HELIX recognizes their profile and authenticates the individual, allowing him or her to pass.

Descartes Biometrics recently published a white paper detailing the HELIX solution, including how it works, its advantages over other biometric solutions, and possible applications.

Article Topics

 |   |   |   |   |   |   |   |   | 

Comments

4 Replies to “Descartes Biometrics to demonstrate ear recognition software at CES on the Hill”

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Popular

Biometrics Research Group

Biometrics White Papers

Biometrics Events

Explaining Biometrics