MSO 300 Series
Capturing high quality fingerprint images for multiple applications
The MSO 300 Series is a family of robust, high-quality optical sensors that capture and process fingerprints with excellent image quality. It is designed to cope with fingerprint registration of the young, old, and manual laborers. With an internal database capable of handling 5,000 users, the MSO 300 Series is ideal for a wide range of applications: population enrollment, border control, access control to sensitive IT systems, in-store or online payments.
Along with class-leading image acquisition certified to FBI PIV IQS* and STQC** standards, each device provides biometric template coding and matching thanks to its embedded FIPS 201*** and MINEX**** compliant algorithms. As options, the range also offers an enhanced, patented optronic fake finger detection function (Common Criteria certified), a smartcard reader and security features to protect users’ data.
The MSO 300 Series can easily be integrated into various applications thanks to the MSO SDK, available for Windows, Linux and Android platforms.
*Image Quality Specifications
**Standardisation Testing and Quality Certification Directorate: an office of the Government of India providing quality assurance services in the area of Electronics and IT.
***US federal government standard that specifies Personal Identity Verification (PIV) requirements for federal employees and contractors.
****Interoperability test used to establish compliance of template generators and template matchers for the U.S. Government's Personal Identity Verification (PIV) program.
A metallic casing protects the field-proven, tough optical design of the MSO 300 devices, which have been widely deployed in harsh environments (mines, seaports, etc.).
The MSO 300 Series carries out both enrolment and comparison (1:1 authentication and up to 1:5000 identification).
With its 23mm x 23mm sensing area, the MSO 300 Series offers excellent fingerprint capture. Images are processed on-device by top class coding and matching algorithms.
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