Neurotechnology biometric voter system used in Ghana vote

Neurotechnology biometric voter system used in Ghana vote

Neurotechnology, a provider of deep-learning-based solutions and high-precision biometric identification and object recognition technologies, today announced that the company’s services and products, including the MegaMatcher Automatic Biometric Identification System (ABIS), were used for Ghana’s Biometric Voter Management System, providing voter registration, deduplication, adjudication, final voter list generation and verification during voting for the country’s general elections held on December 7, 2020.

Neurotechnology delivered the Biometric Voter Management System (Software) and provided related services for the Ghana Electoral Commission in record time – just nine months from start to finish – covering everything from initial voter registration to final voter list preparation and onsite support for the General Election.

Neurotechnology’s MegaMatcher ABIS provided deduplication for a total of 17,027,641 registrants who were eligible to vote in the general election. By matching fingerprints and/or facial biometrics for each registrant name, the system successfully identified 15,860 multiple registrations conducted by 7,890 unique individuals who attempted to register more than once using different names.

“We are highly satisfied with Neurotechnology’s software and services, which were provided in a short timeframe –nine months to be precise, from inception to completion,” stated Mrs. Jean Mensa, Chairperson for the Electoral Commission of Ghana. “The staff of Neurotech were highly professional and helpful.  They were responsive and accessible in that they were physically present on site throughout the duration of the exercise.

By providing highly accurate identification and verification of each registered voter, and by ensuring that each voter was only able to cast one vote, the MegaMatcher ABIS Biometric Voter Management System helped to ensure fair, transparent, credible and successful general elections in Ghana.

“We were pleased to work with the Electoral Commission of Ghana for their Biometric Voter Management System,” said Irmantas Naujikas, Director of Neurotechnology.

 

IDEMIA STORM ABIS enables remote fingerprint matching

IDEMIA STORM ABIS enables remote fingerprint matching

 IDEMIA, the biometric solutions leader for law enforcement agencies, announced today it has launched the world’s first SaaS-based Automated Biometric Identification System (ABIS), IDEMIA STORM ABIS, for intuitive, accessible and affordable fingerprint analysis, comparison and documentation.

IDEMIA STORM ABIS is an intuitive web-based platform that allows for efficient access to world-class fingerprint-matching technology. It supports local and national searches with tools for analysis, comparison and case management that allows fingerprint examiners to efficiently complete examinations from anywhere. With user experience as a design priority, the system enhances collaboration while reducing the learning curve for examiners, which cuts training time and costs for agencies. 

“IDEMIA has delivered high-performing biometric identification systems hosted in the cloud since 2015. Yet IDEMIA STORM ABIS is first of its kind as its cloud-native architecture allows dynamic scalability, high availability and system reliability on-demand,” said Michael Hash, vice president, justice and public safety, IDEMIA. “Designed from the ground up by fingerprint examiners for examiners, STORM will transform how we deliver automated fingerprint identification capabilities to our law enforcement customers.”

As an out-of-box SaaS ABIS, IDEMIA STORM ABIS drastically streamlines the system deployment and delivery process with standardized configurations. Leveraging native cloud architecture, this new SaaS offering offers continuous feature updates and allows smaller agencies to use the biometric identification services securely from anywhere, enabling flexible and remote work environments, a useful feature in the post-COVID world.