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Distributed Biometric Identity System (DiBIS)
The Distributed Biometric Identification System (DiBIS) is a sophisticated technology that leverages biometric data to identify and authenticate individuals across a network of distributed nodes or devices. Biometric identification involves the use of unique biological traits, such as fingerprints, facial features, including demographics to recognize and verify the identity of individuals.
Features
The system is designed with a distributed architecture, departing from the usual queued processing on a single system to a distributed parallel processing across a cluster of nodes. The system takes batched requests and splits them into predefined sizes which are sent to various processing engines to be processed simultaneously. As stated earlier the Distributed Biometric Identification System (DiBIS) emerges as a transformative solution, transcending the limitations of speed and delivering unparalleled accuracy in person identification through its three distinct modules;
The Demographics
It is designed to efficiently manage diverse demographic requests using an in-memory processing engine to execute all matching operations within the system's memory, eliminating the need for frequent database queries.Following a robust design pattern, it seamlessly manages processing across multiple nodes, allowing it to effortlessly handle a high volume of requests.
Fingerprints
The Fingerprints Matching Engine of the DiBIS is built to handle very high volume Fingerprints Matching for One-to-One Fingerprints match, One-to-many fingerprints match.The objective is to process millions of Fingerprints Matches every hour. In testing we have achieved matches of 10,000 one-to-one fingerprints matches within 4-6 seconds, which translates to 5,997,600, which is approximately 6 million matches per hour.
Face Verification
The Face recognition engine built to work with the Distributed Biometric Identification system uses a military grade AI based recognition technology. It is a distributed parallel processing technology.It has the capability to process an impressive 120,000 matches per second.This system encompasses both a highly accurate fingerprint matching engine and an advanced face recognition engine, forming the core of our comprehensive biometric solution.To meet the demands of high-volume usage, we have designed the DiBIS as a distributed system capable of efficiently servicing a large population.
Use Cases
Biometric Voter Registration
Enrollment station for Windows or Android
Voter data centralization
Fast and accurate biometric deduplication
Automated identification of children and minors based on AI-powered age estimation
Identity management interface for operators to remove duplicates, minors or deceased
Voter lists and card generation based on electoral division
KYC verification for Banks, FinTech and Telcos
Biometrics Ticketing System for Transportation
This system leverages fingerprint scanning and facial recognition technology to verify passengers' identities.
Upon arrival at the terminal, passengers register by providing their biometric data (fingerprint or facial recognition) at a self-service kiosk or with an agent.
After verification, passengers proceed to the payment center, where they can pay using cash, bank transfers, or digital payment options.
Once payment is confirmed, the system automatically assigns a seat, and the passenger receives an e-ticket or printed ticket with journey details.
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