Use Cases

Empowering law enforcement and public security with advanced, real-time biometric solutions for safer communities

Identity Verification at Borders

Enhances border security by swiftly authenticating identities using advanced fingerprint matching, ensuring accurate and rapid processing.

Criminal Identification in Investigations

Facilitates law enforcement investigations by accurately identifying suspects through reliable fingerprint analysis, aiding in quicker case resolutions.

Access Control for Secure Facilities

Offers robust access management to high-security areas, using biometric verification to ensure only authorized personnel gain entry.

Voter Registration and Verification

Streamlines the electoral process by providing reliable identity verification, ensuring a secure and fair voting environment.

Public Safety and Surveillance

Assists in maintaining public safety by identifying individuals in surveillance footage using biometric data, enhancing community security.

Emergency Response Coordination

Improves emergency services' response by quick biometric identification, ensuring efficient and timely assistance in critical situations.


Efficient and scalable fingerprint matching for enhanced public sector security

  • NiuPay Technology

    NiuPay's biometric solutions combine an FBI Certified FAP 50 Fingerprint Scanner with a sophisticated fingerprint matching algorithm, specifically designed for the demanding needs of law enforcement and public security. The scanner is compact yet powerful, ideal for high-volume, mobile fingerprint enrolment and verification. Leveraging the hyperscale capabilities of AWS cloud technology, our algorithm can efficiently process and match fingerprints against millions of profiles, facilitating rapid, near real-time identification. This integration of advanced hardware and cloud-powered scalability offers a highly effective and practical solution for the diverse requirements of the public sector.

How the fingerprint matching process works

1. Fingerprint Capture

Our FBI-certified FAP 50 scanner employs high-resolution imaging to capture a detailed fingerprint. This scanner’s precision technology enhances the definition of ridge flow, minutiae, and other unique fingerprint characteristics, ensuring a comprehensive digital representation suitable for detailed analysis.

2. Image Enhancement

Once captured, the fingerprint image undergoes a series of digital enhancements. This includes advanced techniques like ridge contrast enhancement, noise reduction, and image normalisation, all aimed at accentuating key features and ensuring a high-quality image for accurate feature extraction.

3. Feature Extraction

In this phase, the algorithm processes the enhanced image to identify and catalogue minutiae – specific points where fingerprint ridges end or bifurcate. Advanced algorithms map each minutia with exact coordinates and direction, creating a detailed representation of the fingerprint’s unique pattern.

4. Pattern Analysis and Comparison

The system now begins a complex pattern analysis, examining the relative position, direction, and type of each minutia. During comparison, it cross-references these patterns against existing fingerprint templates in the database, focusing on congruence and discrepancies in minutiae configurations.

5. Scoring and Matching

For each potential match, a scoring algorithm assesses the degree of similarity. It evaluates the quantity of matching minutiae, their spatial alignment, and the integrity of their geometric arrangement. This scoring process is crucial in determining the likelihood of a match.

6. Result Verification

The final verification process involves assessing the match based on the similarity score. A high score indicating a high level of correspondence results in a match. This step, supported by the robust computing power of AWS cloud technology, ensures the scalability and speed necessary for processing large datasets, enabling rapid and accurate identification, critical in time-sensitive and high-security scenarios.

Important Questions

Biometric Solutions: Key FAQs Answered

In NiuPay's biometric system, the original fingerprint images undergo a one-time, compute-intensive process to be converted into secure templates. These templates, rather than the images themselves, are used for 1:N matching. Importantly, the original fingerprint images cannot be recreated from these templates, adding an extra layer of security. While the original images are stored in a highly secure environment, the use of templates allows for flexible data storage solutions. This dynamic approach to data handling ensures compliance with a variety of legal requirements regarding data storage and privacy in different jurisdictions, making our solutions both secure and adaptable to specific legal frameworks.
Absolutely. Our biometric solutions are designed for integration with existing government systems. We offer customisable interfaces and robust API support, ensuring smooth integration with various database and security frameworks, enhancing existing infrastructures without the need for extensive overhauls.
In NiuPay's biometric system, the accuracy of fingerprint matching is significantly enhanced by the quality of fingerprint capture and the use of multiple fingerprints per profile. Our system employs a FAP 50 fingerprint sensor known for its high-resolution imaging and precision, capturing detailed fingerprints crucial for accurate analysis. This sensor facilitates rapid 4-4-2 enrollments, efficiently capturing all ten fingerprints in a format that includes four fingers from each hand followed by two thumbs. This comprehensive approach, capturing multiple angles and unique features of each fingerprint, substantially increases the overall accuracy of our matching system. While no biometric system is infallible, the combination of advanced sensor technology and multiple fingerprint data per individual contributes to the reliability and effectiveness of our biometric solutions in the public sector.
"FBI Certified" for biometric devices signifies that the equipment meets or surpasses the standards set by the FBI, particularly for interoperability and image quality. This certification is crucial because it provides assurance that biometric devices are compatible with the Integrated Automated Fingerprint Information System (IAFIS) and other Automated Fingerprint Identification System (AFIS) databases globally used. The certification process involves rigorous testing of devices under various standards like Personal Identity Verification (PIV) and Appendix F of the Electronic Biometric Transmission Specification (EBTS). PIV focuses on one-to-one fingerprint verification quality, whereas Appendix F encompasses a higher level of quality suitable for both one-to-one and one-to-many (1:N) identification, essential for large-scale database matching.
NiuPay differentiates itself by prioritising algorithm transparency in its biometric solutions, a feature often limited in proprietary systems. This transparency allows for a detailed understanding of how the algorithm makes decisions, enhancing trust and verifiability, which is crucial in forensic and legal contexts. Additionally, it enables rich visualisations for quality checks and expert analysis, and the flexibility to adapt the system for diverse applications, from manual matching to advanced security needs. Unlike closed, proprietary solutions, our open approach fosters adaptability and user-friendly interactions, aligning with our commitment to versatile and secure biometric solutions.