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What is MegaMatcher SDK?

MegaMatcher is specifically designed for developers working on large-scale AFIS and multi-biometric systems, providing outstanding reliability and swift biometric identification even within extensive databases. Offered as a software development kit, this technology facilitates the development of extensive single or multi-biometric identification solutions that include fingerprint, iris, facial recognition, voice, and palm print capabilities across multiple platforms such as Microsoft Windows, Linux, macOS, iOS, and Android. Its proven effectiveness has been showcased in large national initiatives, particularly in tasks like passport issuance and the prevention of duplicate voter registrations. The system is equipped with a fingerprint engine compliant with NIST MINEX standards and an iris engine validated by NIST IREX. Furthermore, MegaMatcher ABIS delivers a thorough multi-biometric solution for significant identification projects, ensuring that high-performance matching is achieved with the help of the MegaMatcher Accelerator. Additionally, the technology allows for the direct matching of fingerprints, irises, and faces on smart cards through the MegaMatcher On Card feature. With its diverse range of modalities, including fingerprint, iris, facial recognition, voice, and palm print identification, MegaMatcher stands out as an adaptable choice for a wide array of biometric applications. This adaptability not only enhances its usability but also makes it an essential tool for developers aiming to implement cutting-edge biometric identification systems.

What is IMT Matcher?

IMT Matcher is a cutting-edge solution that employs barcodes for electronic witnessing, labeling, scheduling, traceability, and data insights, specifically designed for fertility clinics and donor banks. Its main goal is to reduce the likelihood of mistakes linked to the misidentification of patients, gametes, and embryos. Unlike other electronic witnessing systems for IVF, IMT Matcher is distinguished by its easy installation, which does not require any changes to pre-existing equipment, allowing it to be conveniently relocated within the facility. The pricing structure is based on a 'per cycle' model, which includes all essential elements such as the necessary equipment, installation, training, service, support, consumables, and software updates. This innovative system aims to improve IVF management and quality assurance for fertility centers, donor banks, and various Assisted Reproductive Technology (ART) facilities worldwide. By utilizing IMT Matcher, healthcare providers can deliver a superior level of care and precision in their reproductive practices, fostering greater trust and satisfaction among patients. This technology represents a significant advancement in the field of reproductive healthcare, emphasizing the importance of accuracy and reliability in every step of the process.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

€2,590 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Neurotechnology

Date Founded

1998

Company Location

United States

Company Website

www.neurotechnology.com/megamatcher.html

Company Facts

Organization Name

IMT Matcher

Date Founded

2001

Company Location

United Kingdom

Company Website

www.imtmatcher.com

Categories and Features

Categories and Features

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