A workstation application for forensic analysis and processing of facial biometric search results
FaceWorkbench is a client application used by biometric examiners to perform facial reviews in various biometric operation workflows, including 1:N, 1:1, and training. It is distinguished by its thoughtful and forward-looking incorporation of current and emerging guidelines and best practices resulting from recent work in the forensic community within the US Government, international standards bodies, and independent forensic associations.
FaceWorkbench integrates examination-based workflows for comparison and training enabling a facial examiner to work in the most efficient way possible while enforcing these current and emerging guidelines and best practices in a supportive role. FaceWorkbench also incorporates numerous ease-of-use features for the facial examiner so critical tools and resources needed for an examination are readily available and effective to use with minimal effort.
The workflow emulates an email client, with searches organized in various stages of an agency-defined workflow. For a given search result or verification request, each candidate can be identified by the examiner as a match or non-match. Advanced tools are provided to enable the examiner to assess the likelihood of a match between the probe and each candidate.
For example, the features of the facial images of the probe and candidate are automatically located and used to align the images (with a manual eye location override if needed to better align the images.) There are advanced image enhancement functions, including swipe bars, color manipulations, and other enhancements, as well as a synchronized, configurable magnifier. Comparison tools allow the images to be overlaid and blended, split, stacked, and checkered.
A key feature of FaceWorkbench is its integration of forensic facial analysis best practices and guidelines into the operational workflows or examiner training sessions. Guidelines such as those drafted by FISWG (www.fiswg.org) or determined by the agency can be integrated prompting the examiner to follow defined operational best practices and keep track of which analyses have been performed. Agencies then realize tighter integration of best practices into the training and operational context.
Another key feature is its automated report generation, which serves to document all the steps taken and best practices followed by the examiner that led to their conclusion. The reports save examiners’ valuable time, while making their evidence more clear and informative in a legal procedure.