In 2024, the Co-operative Group lost approximately \u00a380 million in shoplifting and theft-related incidents across its stores. Another statistic by Capital One Shopping Research highlights that by 2028, stores may lose up to $55 billion in such incidents. Not just retail stores, the internet is inundated with similar statistics that reveal monetary losses caused by theft in manufacturing plants, warehouses, and corporate facilities.<\/p>\n\n\n\n
What does this indicate? Clearly, traditional security measures and CCTV surveillance are not enough; it is high time to implement AI theft detection systems or AI-assisted surveillance systems. <\/p>\n\n\n\n
Traditional surveillance solutions are effective, but they don\u2019t provide a means to get real-time intelligence, which is needed to prevent theft incidents or at least reduce the loss. AI theft detection systems can help prevent shoplifting, employee theft, asset misplacement, unauthorized access, and inventory shrinkage. <\/p>\n\n\n\n
But how do AI or computer vision-based theft systems work? How do they amplify security, or what technologies do they utilize? This comprehensive guide covers everything! Read it till the end to know the use cases, benefits, development process, future trends, and almost everything else about real-time theft detection systems. <\/p>\n\n\n\n