FaiceMatch lets you upload images and compare them against your own historical dataset — identifying individuals after the fact, without live video feeds.
FaiceMatch empowers you to analyse past images and video stills with speed and certainty.
Upload a still from recorded footage — or any image — and FaiceMatch compares it against your historical dataset in seconds. No live video stream required. No continuous surveillance. Just focused, targeted identification when you need it most.
It dramatically reduces your investigation workload, enables swift identification of suspects or missing persons, and transforms the efficiency of your case resolution process.
Retrospective facial recognition doesn't need live video. It uses images to cross-reference against your own historical dataset — changing everything from deployment to regulation.
FaiceMatch delivers precise identification from recorded footage, integrates with your existing systems, and requires no specialist hardware. Because it processes images rather than live feeds, it operates with fewer data protection restrictions — no continuous surveillance, just targeted identification when you need it.
Manual reviews that took hours are reduced to seconds. Investigation timelines shrink. Your team acts on results instead of searching for them — and by identifying known offenders retrospectively, you prevent future incidents before they happen.
From cold case resolution to preventing repeat offences — FaiceMatch is purpose-built for investigative teams.
Retrospective suspect identification from crime scene footage
Resolve historical cases using modern facial recognition
Cross-reference individuals against your watchlists from any image source
Identify offenders with criminal history across locations
Provide confident identification data for court proceedings
Accelerate investigative timelines with quick identification
From upload to identification — a streamlined four-step process designed for speed and accuracy.
Upload a still image or frame from recorded footage into FaiceMatch.
Advanced algorithms analyse the image's biometric data in milliseconds.
The image is cross-referenced against your historical dataset for matches.
Results delivered with confidence scoring and identification details.
Retrospective facial recognition is fundamentally less intrusive than live FR.
Images are analysed after capture — giving you complete control over what gets processed and when. Data is only compared against specific investigative leads you choose, not continuous surveillance feeds.
This design reduces privacy implications while delivering the identification power you need for investigations. Your data stays yours. We process only what you authorise.
See FaiceMatch in action with your own investigation scenarios. We'll walk you through how retrospective facial recognition can transform your investigative capabilities.
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