Entries by Lauretta Rapley

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Facewatch customers speak to BBC News about the rise in shoplifting and abuse

Facewatch customers speak to BBC News about their motivation to install Facewatch. Danyal Shoaib made the decision to install Facewatch in his Surrey service station last month after increasing incidents of racial abuse, threatening behaviour and assaults on staff. He told the BBC “When we started to get physical assaults on staff, that’s when we […]

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Facewatch delivers safety and security for forecourts

Satisfied Facewatch customer, Simon Lawrence from Lawrence Garages spoke to Forecourt Trader about the positive impact that Facewatch is having on store safety as well as reducing stock loss and violent incidents.  “Facewatch’s proactive approach to crime prevention sets it apart from conventional CCTV, and its effectiveness in ensuring worker safety aligns with the Lawrence […]

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Facewatch featured in The Telegraph

Source: The Telegraph Click the link above to read the full article The tech companies scanning faces as we shop Facewatch featured in The Telegraph. Facewatch Founder Simon Gordon says AI tools simply will give stores a fighting chance against shoplifting gangs. “All we’re doing is supercharging shopkeepers’ ability to try to prevent crime in […]

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Bonjour la France!

Bonjour La France! Facewatch filmed with @infofrance2 and Ambroise @ABouleis last week. Click the link above to watch the full report.To discuss how we can help protect your staff and customers, get in touch today! 0207 930 3225 #facialrecognition #crimeprevention #shoplifting  

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Super Recognisers – the lengths Facewatch go to in order to protect frontline retail workers

Facewatch recruit Super Recognisers as Facial Analysts to support AI. As part of the effort to prevent crime and protect frontline retail workers, alongside two leading facial recognition algorithms, Facewatch use human experts to ensure that there is always human intervention and not just AI involved in decision making. “The combination of humans and AI […]

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Facial recognition and racial bias

We are often asked about the accuracy of the Facewatch algorithm and what sets us apart from the others. It’s important to bear in mind that we are detecting faces in live conditions and achieving an accuracy rate of 99.87%. Bias in terms of facial recognition relates to variation in accuracy, as quantified by false match […]

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Facewatch featured on CNN

  Facewatch Founder Simon Gordon recently spoke to CNN’s Anna Stewart about his reasons for starting Facewatch. The full report can now be viewed here https://ow.ly/oij050PcZ4a Simon demonstrates how Facewatch works and provides an insight into how the company started from the point of view of a business owner who was experiencing rising levels of […]