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Test Mantra RD Service here. Click here for download RD Service and MFS100 Driver Setup.
[ After binding custom SSL certificate, add your domain name in hosts file (C:\Windows\System32\drivers\etc\hosts) Ex: 127.0.0.1 rd.myservice.com ]
Step 1: Download the Mantra RD Service Package for Windows,then extract the folder and click on the “Mantra MFS100 Driver” to run under administrative privilege. Step 2: After MFS100 Driver setup successful installation, it is redirected to Mantra Test Application.
MANTRA SOFTECH INDIA PVT LTD. Download link for Mantra RD Service Setup. Registered device service of MFS100 is fully compatible with latest Aadhaar Authentication API 2.0 (rev 1). Registered device service Setup for MFS100 is available on our download portal.
Mantra. Access all Mantra device essentials – pricing, registration, and driver downloads, conveniently centralized for your ease. Simply click to retrieve the Mantra MFS Device Drivers. Before installation, ensure a smooth experience by verifying Mantra RD Service Registration here.
Aug 5, 2020 · Learn how to install and test Mantra RD Service Client Application in Windows 10 for AEPS transactions with this video tutorial.
MANTRA SERVICO is a web-based tool which is developed for customer support and it has the capability to generate and track a complaint regarding the devices supplied by Mantra.
Mantra fingerprint scanner MFS 100 with its latest RD Service and Drivers can be found on Radium Box, which is the 1st and authenticate portal for Mantra RD's new registration and renewal. As UID Authority, both models MFS100 V54 & MIS100V2 must update with the latest Aadhaar Authentication API 2.5.
Sep 29, 2023 · To confirm that your Mantra MFS 100 device is now operating with the renewed RD service, perform verification and testing. Ensure that fingerprint scans and Aadhaar-based services are functioning correctly.
MFS100 is a high-resolution USB fingerprint sensor that can be used for desktop or network security. This fingerprint scanner uses optical sensing technology to distinguish both good and bad quality fingerprints.
