What is retrospective facial recognition?
Identify individuals post event from images or videos by submitting an image or a video in to 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.
Use cases of Retrospective Facial Recognition
Use cases of Retrospective Facial Recognition
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 Individual
- Serious organised crime
HOW CAN IT HELP YOUR FORCE?
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 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 been chosen by UK forces to support faster investigations, safer custody processes and more
Since being deployed with South Wales Police, it has been highly successful and is now used in partnership with Gwent Police
Other use cases of facial recognition in policing
What is NeoFace?
What is NeoFace?
NeoFace is NEC’s high performance, highly scalable facial recognition algorithm, providing fast and accurate results for the most demanding real-time or post-event facial recognition use cases.
It’s designed to find a needle in a haystack, reducing a problem down to a much smaller review process. Built upon 40 years experience and world leading AI, it’s highly tolerant of ageing, angles, headwear and environmental factors such as lighting.
It performs consistently regardless of age, ethnicity and gender by combining the best feature-matching and AI technologies, It’s built-in safeguards support privacy and proportionate use, with auditing and reporting as well as automatic and manual data retention tools.
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