University of Maine Deploys Palm Vein Scanners for Students at Dining Halls

Date: 2012/01/11
Source: M2SYS Technology

M2SYS Technology and the University of Maine have teamed up to implement palm vein scanner biometric software with their point-of-service (POS) software for student check-in at on-campus dining halls. Seeking a biometric student identification system to efficiently and effectively track and manage dining hall traffic, the University of Maine turned to the flexible M2SYS hybrid platform and palm vein scanner, which uses vascular biometrics for accurate identification. The deployment is expected to save thousands of dollars per by year by eliminating shared cards, a practice that has students share their meal plans at a price of $4,100 per academic year.

University officials chose the M2SYS hybrid software and palm vein scanner because it is a complete biometric software system that can be instantly interfaced with their lunch line POS software, without any code-level development. The University also chose to deploy high-performance, scalable, hyper-threaded multi-biometric identification server designed for exceptionally fast matching speeds in biometric projects with larger databases.

Multi-biometric identification server fits for large-scale biometric deployments that require high reliability and speed like the University of Maine. Examples of verticals that can benefit from Multi-biometric identification server include: lunch line POS, patient identification across health care networks, inmate identification within detention centers, banking institution customer identification, and government biometric deduplication projects such as voting, passport issuance and national ID.

“We are pleased to be partnering with the University of Maine to deliver our hybrid software, palm vein scanner, and multi-biometric server to facilitate efficient and rapid identification for students with their lunch line POS software” said Michael Trader, President of M2SYS. “We see more Universities using the palm vein scanner to reduce expenses, prevent identity fraud and increase convenience. Our hybrid multi-biometric software has helped to facilitate the safe and orderly management of the University's student member information and our server ensures that search results are returned instantaneously. ”