The Bangladesh Army is using Neurotechnology
’s MegaMatcher SDK multi-biometric technology to identify duplicate registrations in the nation’s voter database. System integrator Dohatec New Media helped design and implement the MegaMatcher-based system for the Bangladesh Voter Registration Project that registered more than 80 million citizens using biometric face and fingerprint technology.
MegaMatcher from Neurotechnology successfully identified more duplicate registrations with a higher degree of accuracy than any other system tested. According to company’s sources, over 48 million voter registration records have been matched to date.
Lt. Col. Md Mostafizur Rahman, staff officer Grade - 1 (Information Technology Directorate) for the Bangladesh Army indicated that MegaMatcher SDK has enhanced the technological capabilities of their system and he also finds the cost-per-unit for the SDK to be cost-effective.
As Bangladesh has a large population, it is not only difficult to search for duplicates but also needs a large number of matching operations and significant reliability, according to Dr. Algimantas Malickas, CEO of Neurotechnology.
“ I’m glad that the Bangladesh Army and system integrator Dohatec, in their implemented system, successfully explored MegaMatcher functionality for the solution to this problem,” he said.
Neurotechnology officials explain that MegaMatcher Client enabled the Dohatec Biometrics Fusion Server system to generate templates from face and fingerprint images that were captured with a BIO-Key system. The MegaMatcher Server and MegaMatcher Cluster Server then help search the database and identify duplicate records.
Suitable for both civil and forensic use, Neurotechnology’s MegaMatcher has the ability to provide both the high speed and reliability required for the development of national-scale automated fingerprint identification systems (AFIS) and multi-biometric face/fingerprint identification systems.
In September, Neurotechnology announced
the availability of SentiSight 2.0 SDK universal object recognition technology. Designed for the development of robotics, artificial intelligence and computer-based vision applications, the new launch can also find and count the number of objects in a scene. In addition, SentiSight 2.0 SDK can compare and identify pictures even when the perspective has changed.
Anuradha Shukla is a contributing editor for TMCnet. To read more of Anuradha’s article, please visit her columnist page.
Edited by Stefania Viscusi