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Home / Crime and Justice / Facial Recognition Error Sees Shopper Ejected

Facial Recognition Error Sees Shopper Ejected

5 Feb

•

Summary

  • Customer wrongly identified by facial recognition software.
  • Sainsbury's apologized and offered a £75 voucher.
  • Human error, not the technology, caused the mistake.
Facial Recognition Error Sees Shopper Ejected

A loyal Sainsbury's customer of ten years experienced a deeply humiliating ordeal when facial recognition software wrongly identified him as an offender. The 42-year-old man was escorted out of his local store in London by staff and security.

Sainsbury's has been trialing Facewatch technology in six London stores to combat rising theft and aggression, reporting a significant reduction in such incidents. The software boasts a 99.98 percent accuracy rate, aiming to proactively identify known criminals.

However, in this instance, the error occurred during the human verification stage. The customer, after being asked to leave, submitted a data request to Facewatch to understand the alert. Facewatch confirmed he was not on their database, redirecting Sainsbury's.

Both Sainsbury's and Facewatch stated the incident was due to human error, with staff approaching the wrong individual. This follows other reported cases of shoppers being wrongly flagged by similar systems, raising concerns about due process.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
The customer was wrongly identified due to human error by store staff during the verification process, not a fault of the facial recognition technology itself.
The customer was escorted out of the store, was later contacted by Sainsbury's with an apology, and was offered a £75 voucher.
Sainsbury's uses Facewatch technology which claims 99.98 percent accuracy, but in this specific incident, the error stemmed from human misidentification by staff.

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