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Facial Recognition That Connects Forces

NeoFace Nexus combines proven workflows and tools with the world’s most accurate facial recognition technology to help law enforcement agencies work together to solve crimes across territories and borders.

Join our upcoming webinar to find out more about you could use NeoFace Nexus to work together with other agencies to enable investigation officers to identify criminals who commit crimes across jurisdictions simply by sharing images from mugshots, crime scenes and camera footage.

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Why Choose NeoFace Nexus

By working together, wanted
individuals who may have otherwise evaded
identification can now be reliably identified and
secured by law enforcement.

Identifying individuals across
territories & borders enables crimes to be solved that
would not have been possible due to abscondment.

Systems integrators
are often needed to get systems securely talking to
each other. Ours do this out of the box.

Restrict who you share data with to only
those you mutually agree, using industry-proven
technologies that are trusted.

Our COTS products are regularly
penetration tested and patched for security
updates.

Control which users in your
system can access shared data. Restrict what
parts of your database can be accessed by specific
agencies.

Checks can be done in seconds.
This saves hours of officer’s time and maximises
their value protecting the public.

Our products are
compliant with GDPR and the UK Data
Protection Act.

Proven, trusted and tested

NEOFACE NEXUS

Proven, trusted and tested

NeoFace is NEC’s high performance, highly scalable facial recognition algorithm, providing fast and accurate results for the most demanding real-time or post-event facial recognition use cases.

It’s designed to find a needle in a haystack, reducing a problem down to a much smaller review process. Built upon 40 years’ experience and world leading AI, it’s highly tolerant of ageing, angles, headwear and environmental factors such as lighting.

It performs consistently regardless of age, ethnicity and gender by combining the best feature-matching and AI technologies. Its built-in safeguards support privacy and proportionate use, with auditing and reporting as well as automatic and manual data retention tools

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CASE STUDIES

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Frequently Asked Questions

NeoFace Nexus is NEC’s advanced facial recognition platform designed for both real-time and retrospective identification. It processes live video feeds or archived footage to detect and match faces against watchlists, enabling rapid identification of persons of interest. The system is built on NEC’s NeoFace algorithm, renowned for its accuracy even with low-resolution images or challenging conditions such as poor lighting, varied angles, or partial obstructions .

NEC’s facial recognition technology, including NeoFace Nexus, has been independently recognized for its high accuracy. The National Institute of Standards and Technology (NIST) has consistently ranked NEC’s algorithms among the top performers in facial recognition accuracy, even under challenging conditions such as low-resolution images or varying angles.

Yes, NeoFace Nexus is designed for easy integration with existing security infrastructures. It offers standard APIs and supports various deployment models, including cloud-based and on-premises solutions. This flexibility allows organizations to incorporate facial recognition capabilities without overhauling their current systems.

Yes. NeoFace Nexus incorporates built-in privacy safeguards, including audit trails, configurable data retention policies, and proportional use controls. These features help organizations comply with the UK’s data protection laws and ethical standards.

NEC places a strong emphasis on data privacy and compliance. NeoFace Nexus includes built-in data retention and privacy tools, allowing organizations to manage personal data in accordance with regulations such as the General Data Protection Regulation (GDPR). The system provides auditing and reporting features to ensure transparency and accountability in data handling.