What is Retrospective Facial Recognition?
Retrospective Facial Recognition in Policing identifies individuals post event from images or videos by submitting an image or a video into the system. It is matched against all subject images in your reference image gallery where a set of ranked candidates are returned to an officer for human adjudication.
Using retrospective facial recognition can save your force significant time and resources in the following investigations:
- Cold Case Identification
- Missing or vulnerable individuals
- Human Trafficking
- County Lines
- Wanted Individuals
- Serious organised crime
How can Retrospective Facial Recognition help your force?
It speeds up investigations
It locates or identifies individuals against watchlists significantly faster than manual review; potentially saving weeks of investigation time that can be reallocated to working on other cases.
It offers great return on investments
Our retrospective solution helps you look for individuals who may have already been captured in custody photos, video or CCTV. This is different from our live solution, which helps to prevent harm by matching faces in real time.
It can add value in a range of areas, like identifying or locating missing people, dangerous offenders or victims, even reopening cold cases to identify unidentified individuals.
It’s proven in UK policing
It’s been chosen by six UK forces to support faster investigations, safer custody processes and more.
Since being deployed with South Wales Police is has been highly successful, and is now used in partnership with Gwent Police.
Operator Initiated Facial Recognition
Leverage the facial recognition mobile application to photograph a person and quickly verify their identity in various situations. This tool is particularly useful for recognising car accident victims, identifying individuals wanted for serious or violent crimes, checking if someone has been reported missing, and confirming a person’s identity.
Deploying operator-initiated facial recognition can significantly save your force time and resources in these scenarios by efficiently identifying car accident victims, recognizing individuals involved in violent crimes, and identifying vulnerable individuals to provide additional care and support.
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