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24 pixels
Supports matching of low-resolution face images
1B+
Search repositories from thousands to more than a billion images
1:N + 1:1
Support large-scale candidate searches and direct face-to-face comparison
Overview
NeoFace Reveal
NEC NeoFace Reveal is a forensic facial recognition application designed for law enforcement, crime laboratories and civil applicant processing agencies.
It supports one-to-many (1:N) searches and one-to-one (1:1) comparisons, returning ranked candidate lists for examiner review and detailed verification.
Extensive enhancement tools help improve poor-quality probe images, while integrated case management maintains a complete audit trail from case entry and search submission through review and disposition.
From difficult imagery to structured forensic review.
Why NEC?
NEC has more than three decades of experience developing facial recognition technology for government, public safety and identity environments.
Our expertise combines independently evaluated facial recognition with the integration, security and operational knowledge required to support demanding investigative and identity workflows.
Proven biometric expertise. Built for investigative workflows.
Capabilities
Forensic face search
Search databases from thousands to over one billion images using 1:N or 1:1 matching.
Advanced image enhancement
Enhance poor-quality probes using crop, rotate, brightness, contrast, sharpening and noise reduction.
Ranked candidate review
Return ranked potential matches for rapid examiner assessment and detailed comparison.
Morphological analysis
Use FISWG-compliant tools to compare facial areas and support detailed verification.
Video face de-clustering
Detect dissimilar faces across video frames and cross-search against master galleries.
Case and audit management
Maintain evidence, case records, galleries and a complete audit trail through review and disposition.
Benefits
Accelerate investigations
Narrow large image and video sets to ranked candidates for faster review.
- Search repositories containing very large volumes of facial imagery
- Return ranked candidate lists for examiner assessment
- Reduce time spent manually reviewing potential matches
- Support faster progression from search to detailed verification
Enhance difficult imagery
Improve low-quality or angled probes for more effective search and comparison.
- Enhance low-resolution or poor-quality probe images
- Adjust crop, rotation, brightness and contrast
- Apply sharpening and noise-reduction tools
- Improve imagery before search and comparison
Support examiner review
Use structured verification, morphological analysis and complete audit trails.
- Compare facial areas using FISWG-compliant tools
- Review ranked potential candidates in greater detail
- Maintain evidence and case records throughout the process
- Preserve a complete audit trail from search through disposition
Scale to agency needs
Search large databases and support multiple image and video formats.
- Search repositories from thousands to more than a billion images
- Support both 1:N searches and 1:1 comparisons
- Work across still imagery and recorded video
- Manage investigative workflows within a single application
Insights
The Contractor Identity Challenge in Critical Infrastructure
Responsible Use of Biometrics in Digital Identity
Addressing Gaming Venue Challenges with Facial Recognition
NEC Face Recognition Ranks First in NIST Accuracy Testing
Use Cases
Law Enforcement
Use Case
Identifying Persons from Investigative Imagery
Situation
Investigators may need to identify an unknown person using facial imagery captured from CCTV, mobile devices, crime scenes or other evidentiary sources.
Challenge
Available imagery is not always ideal for facial comparison. Low resolution, compression, pose angle or background noise can make identification difficult, while manually reviewing large repositories can consume significant investigative time.
Solution
NeoFace Reveal enables investigators to enhance difficult probe images and conduct 1:N searches across large facial repositories. Ranked candidate lists can then be reviewed and compared by authorised examiners using structured verification tools.
Outcome
Faster candidate identification, reduced manual review and a more structured path from initial search through examiner verification and case disposition.
Crime Laboratories
Use Case
Forensic Facial Comparison and Verification
Situation
Forensic examiners may be asked to conduct detailed facial comparisons where an initial facial recognition search has produced one or more potential candidates.
Challenge
A potential algorithmic match still requires structured human review, particularly when probe imagery is incomplete, degraded or captured at a challenging angle.
Solution
NeoFace Reveal supports detailed examiner review using image enhancement, ranked candidate comparison and FISWG-compliant morphological analysis to compare facial areas and support verification.
Outcome
More consistent forensic review, improved examination of challenging imagery and a documented workflow that supports detailed human assessment.
Civil Applicant Processing
Use Case
Identity Verification During Application Processing
Situation
Government and civil-processing agencies need confidence that applicants are correctly associated with the identity information they provide.
Challenge
Duplicate records, conflicting identity information or attempted use of another identity can create additional review requirements and potential fraud risk.
Solution
NeoFace Reveal supports both 1:1 facial comparison and 1:N repository search, allowing authorised teams to compare an applicant image directly with an existing record or search larger databases for potential matches.
Outcome
Stronger identity verification, more efficient review of potential duplicate identities and greater support for consistent applicant-processing workflows.
Fraud Detection
Use Case
Identifying Potential Identity Fraud
Situation
Identity-based fraud can involve individuals attempting to use false, duplicate or stolen identity information across application and verification processes.
Challenge
Traditional identity checks may not reveal that the same individual appears under multiple records or that an applicant's facial image conflicts with an existing identity.
Solution
NeoFace Reveal can use 1:1 comparison and 1:N search to identify potential facial matches across existing image repositories, supporting further investigation and authorised human review.
Outcome
Earlier identification of potential identity inconsistencies, improved support for fraud investigation and more informed verification decisions.
Video Evidence Analysis
Use Case
Extracting Investigative Value from Recorded Video
Situation
Investigations can generate large volumes of recorded video containing multiple people across different frames and sequences.
Challenge
Manually locating and separating relevant faces across extensive footage can be slow and resource intensive, particularly where the same individual appears repeatedly.
Solution
NeoFace Reveal's video face de-clustering capability can detect dissimilar faces across video frames and cross-search them against master galleries, helping examiners isolate potential subjects for further review.
Outcome
Faster analysis of video evidence, reduced manual review effort and a more efficient route from recorded footage to potential investigative candidates.
