NeoFace® Reveal

NeoFace® Reveal

Transforming images previously considered of little or no value

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Advanced Criminal Investigation

NeoFace Reveal software delivers reliable face recognition by capturing, enhancing, organizing and matching video and graphic images to specific individuals, including images of poor resolution and with partial positioning.

Independently evaluated as the most accurate face recognition solution on the market by NIST.

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NeoFace Reveal offers

  • Rapid single or batch processing.
  • Partial and low light matching.
  • Supports a gamut of image and video formats.
  • Innovative multi-touch user interface using Microsoft® Windows® 8.
  • Intuitive advance search capability.
  • Side-by-side viewing and verification..
  • Facial verification and ranking assessment.
  • Highly scalable to organization and function.
  • Available as a standalone solution.
  • Easy integration into existing operational and security processes.

Additional Advantages

Correction of difficult to match images, including:
  • Pose correction of partial image capture.
  • Consolidation from a series of images.
  • Shadow correction for clearer results.
Available NeoFace Links Utility:
  • Batch processing of multiple crime scene video.
  • Auto identification of dissimilar faces.
  • Optional batch searching of NeoFace facial recognition database.

Unsurpassed Accuracy

NeoFace's strength lies in the ability to take poor quality and highly compressed surveillance videos and images once thought unusable and use them with a high degree of accuracy.

Applicable Uses

NeoFace is ideal for law enforcement, crime labs, retail stores, entertainment venues and critical infrastructure - anywhere where swift identification of individuals is beneficial.

Explore Our Latest User Case Study

Irving TX Police Department

"We've had several incidences where we submitted a probe image that was blurry or very pixilated or the suspect was represented at an awkward angle, and this technology - NeoFace® Reveal - was still able to make a match."

Sgt. Jason Mullins
Crime Information Center Supervisor

Learn How

NEC Solution Identified Boston Marathon Bombing Suspect in Simulation by MSU

Michigan State University (MSU) study validated accuracy and crime solving benefits of facial recognition technology to solve recent high profile incidents. Our NeoFace facial recognition software achieved high accuracy in this independent study conducted by MSU and was able to identify a suspect from the 2013 Boston Marathon bombing in the study that simulated the post-bombing forensic work.

Read MSU Study Report


NIST Validated

The National Institute of Standards and Technology (NIST) matching algorithm recognition benchmarks have consistently proven that NEC's biometric technologies have the fastest and most accurate face and fingerprint recognition algorithm and have the most resilient facial recognition technologies to viewing low angles, low resolution images and poor image quality.

View Our Complete NIST Rankings

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