FaceVACS-DBScan with Examiner
Photograph matching in large databases
FaceVACS-DBScan instantly compares facial images from various sources to large image databases. The technology supports the biometric identification, comparison, and verification of persons who are members of a large group.
Law enforcement professionals can identify individuals in crime scene photos and surveillance videos by matching facial images against the agency's mugshot repository. ID issuance agencies can compare ID portraits to large image databases to prevent ID fraud or detect clerical errors.
The Examiner toolset can enhance images for better comparison to the gallery. For example, image processing filters can improve the quality of images retrieved from low quality video footage. The pose correction filter uses 3D modeling technology to generate frontal views of faces taken under lateral angles. Examiner also provides a set of inspection tools that help identify the person by comparing images side by side or by measuring facial features.
Operators can develop watch lists of potential matches while recording a full audit trail for each step in the process. Finding a suspect in a timely manner allows investigators to act upon the search results in the critical time period after a crime has been committed.
Features
- Powerful Examiner tool for image quality enhancement and visual inspection of matches
- Cluster configurations for multi-million person database processing
- Flexible and comfortable match list handling that allows sorting, rearranging, browsing, filtering and more
- Batch and interactive enrollments and identifications
- Extensive and flexible management of additional case related data
- Auditable configurable journal for revision purposes and for general usage
- Integrators' Kit for easy integration into existing systems
- Prebinning by bin sets
- One-to-few requests
- High availability option
Watch a product movie for each use case:
Law enforcement ID issuance
Version 4.8 Highlights
- incorporates new B7 algorithm with improved performance for low-resolution images
- supports http/https image references in images table
- Examiner: Side-by-Side View for thorough match list inspection
- Examiner: Pose Normalization Filter
Technical Information
Runs on Windows 2003 Server / XP & Windows 2008 Server
Runs on Windows 7
Runs on Linux SLES 10 and 11
Requires SQL database
Oracle 10g/11g is recommended