Next Deploys AI Scanners to Detect Concealed Theft in Retail Stores
Source: Next installs AI scanners that can see through clothes to spot stolen items (2025-11-25)
Next is pioneering retail security with the rollout of advanced AI-powered scanners capable of seeing through clothing to identify stolen items. This cutting-edge technology, known as the "Thruvision Passive Terahertz Screening System," leverages terahertz wave imaging and artificial intelligence to detect concealed merchandise, weapons, explosives, cash, and drugs beneath clothing layers. Already proven effective in reducing theft at Next's UK warehouses and distribution centers, the system is now being considered for installation in 500 retail stores across the country, safeguarding the jobs of approximately 8,000 employees. The deployment aims to combat increasingly sophisticated theft tactics, such as "muling," where thieves hide stolen goods under multiple layers of clothing. In addition to its theft detection capabilities, the system offers several recent advancements and benefits. For instance, the technology can operate in various lighting conditions, including complete darkness, and can scan multiple individuals simultaneously, reducing wait times and improving customer experience. It also adheres to strict privacy standards by focusing solely on detecting anomalies rather than capturing detailed images of individuals, addressing privacy concerns associated with surveillance. Furthermore, the system's integration with AI allows for real-time threat assessment, enabling security personnel to respond swiftly and accurately. The adoption of such innovative security measures aligns with broader trends in retail technology, where AI and machine learning are increasingly used to enhance safety and operational efficiency. Major retailers worldwide are investing heavily in AI-driven security solutions, with some integrating facial recognition and behavioral analysis tools. However, Next's approach is notable for its focus on non-invasive, privacy-conscious detection methods that respect individual rights while maintaining store security. The implementation of these scanners also reflects a strategic response to rising retail theft rates, which have surged globally due to economic pressures and organized retail crime. According to recent industry reports, retail theft costs the global retail sector billions annually, prompting companies to seek more effective security solutions. The use of terahertz imaging technology is considered a significant step forward, offering a non-intrusive way to prevent theft without the need for physical searches or invasive procedures. Moreover, the technology's ability to detect hidden items under clothing has implications beyond theft prevention. It could be adapted for security screening at airports, events, and other high-security venues, broadening its application scope. As the system becomes more widespread, it is expected to set new standards for retail security, encouraging other companies to adopt similar AI-driven solutions. In the context of privacy and ethics, industry experts emphasize the importance of transparent policies and strict data handling protocols. Thruvision and other providers are working to ensure their systems comply with evolving legal frameworks, including GDPR and future regulations, to protect consumer rights. Retailers deploying these systems are also encouraged to communicate openly with customers about their security measures to foster trust and transparency. Overall, Next's innovative use of AI scanners marks a significant milestone in retail security technology. By combining terahertz imaging with artificial intelligence, the company aims to create safer shopping environments, reduce losses, and adapt to the evolving landscape of retail crime. As these systems become more prevalent, they are poised to revolutionize how stores protect their assets and ensure customer safety, setting a new standard for the industry in the coming years.
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