Redrock Biometrics Creates LOGBOOK Leveraging PalmID Palm-Print Technology

By CIO Applications| Wednesday, January 20, 2021

Redrock Biometrics' PalmID technology enables customers to deploy standard RGB and/or infrared cameras for capturing palm prints and/or subdermal veins to generate a highly unique palm signature.

Fremont, CA: Redrock Biometrics, a leading provider of palm-print based biometrics for authentication and identification, has declared that it has created LOGBOOK, a time as well as attendance product, focused on the construction industry.

In the era of COVID-19, construction companies across America are trying to find solutions that enable continued building while keeping the construction site as healthy and safe as possible. Making sure employee attendance and location on a job site has always been an issue to manage, but today, there are a host of new challenges that every construction organization has to deal with. Mask wearing at all times is now a reality, which means facial recognition systems have now become useless.

"As workers start their day they can check in/out of the job site while wearing a mask, hardhat and safety glasses. The Safety Director has a reliable way of seeing who is on the job site, and when they are on-site, and for how long they are on-site," stated Sergei Badeka, Redrock's Chief Business Officer.

Just a few of the advantages of deploying LOGBOOK are that it is reliable and enables real-time tracking, with no requirement for manual sign-in sheets. Job site safety directors and construction managers will have 24/7 visibility to any job site. And since LOGBOOK is based on Redrock Biometrics' PalmID technology, construction managers will have completely auditable records for compliance.

Redrock Biometrics' PalmID technology enables customers to deploy standard RGB and/or infrared cameras for capturing palm prints and/or subdermal veins to generate a highly unique palm signature. Proprietary PalmID algorithms match palm signatures for a vast range of palm positions, orientations, as well as illumination conditions. The SaaS component of PalmID is able to match a newly captured palm signature with tens of thousands of signatures stored in its database in a fraction of a second.