“Next Tests AI Scanners to Detect Stolen Items in Undergarments”

Next is currently experimenting with advanced AI scanners that have the ability to identify stolen items concealed in undergarments such as bras and underwear. This technology operates by detecting changes in body heat and can also detect hidden weapons, explosives, cash, and drugs.

The “Thruvision Passive Terahertz Screening System” has been successfully trialed by Next UK warehouse and distribution center employees and may soon be implemented in retail stores. Steve Teatum, the Head of Group Loss Prevention at Next, discussed this innovative system in a recent Retail Crime Uncovered podcast episode.

Teatum explained how the Thruvision system has helped uncover individuals attempting to steal items by hiding them in personal body areas, which were previously difficult to detect through traditional security screening methods. The technology has significantly improved theft prevention measures.

In a related development, shoplifting in England and Wales has surged to its highest level in over two decades, with a 20% increase in offenses reported in the year ending in March. To combat this trend, Home Bargains has introduced AI cameras at self-checkouts to identify unscanned items, partnering with tech companies SAI and Everseen for a trial run.

These cameras are designed to detect “misscans” and “skip scans,” alerting staff to any discrepancies during the self-checkout process. Home Bargains’ operations director, Paul Rowland, expressed that this technology has proven more effective than traditional security guards in preventing theft incidents.

This initiative is part of a broader effort to tackle the rising retail crime rates, with Home Bargains also launching a confidential hotline for customers to report incidents of shoplifting and other crimes at their stores.

By embracing technological solutions like AI scanners and cameras, retailers aim to enhance security measures and deter potential thieves in response to the escalating challenges posed by criminal activities in retail environments.