Download Case Study on Finger Vein Biometrics for Accurate Time and Attendance

After evaluating several options, Shannon Power Management elected to use M2SYS’s award winning Bio-SnapOn™ to integrate with their existing time and attendance software. With Bio-SnapOn™ they choose the M2-FingerVeinTM finger vein reader for their employees to register their unique employee number by scanning their finger vein.

Please enter the following information, we will give you
the download link of your required case study.

Asset Download – Full

Please enter the following information
Asset Download – Restricted Countries

One thought on “Download Case Study on Finger Vein Biometrics for Accurate Time and Attendance”

Leave a Reply

Your email address will not be published. Required fields are marked *

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

Biometrics-as-a-Service (BaaS)

CloudABIS™ – Web API For Fast & Reliable Biometric Identification & Matching

CloudABIS™ is a superscalar, biometrics-as-a-service (BaaS) matching system

Supports A Wide Range Of Biometric Scanners And Modalities

face-recognition-cloudABIS

Face Recognition

 fingerprint-m2sys-cloudABIS

Fingerprint

 finger-vein-m2sys-cloudABIS

Finger vein

 iris-scan-m2sys-cloudABIS

Iris
  • Web API
  • SaaS Pricing
  • No Burden
  • Easy Integration
  • No Vendor Lock-in
  • Fast 1:N Matching

Perfect For Fingerprint Biometric Projects

Start Your Free Trial

M2SYS at a Glance

We Simplify The Development & Deployment Of A Biometric Identity Management Solution

Biometric-cloud-Technology-m2sys-Intro-Video
© 2002 - 2026 M2SYS Technology - All Rights Reserved.
Atlanta, GA 30328, USA | Privacy Policy
Skip to content
M2SYS
Powered by  GDPR Cookie Compliance (opens in a new tab)
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.