Retailers Combat Shoplifting with AI Solutions

Lilu Anderson
Photo: Finoracle.net

The Rise of AI in Retail Security

Shoplifting has long been a thorn in the side of retail owners, with many losing between $500 and $2,500 each month due to theft, according to a Forbes survey. In response, a growing number of retailers are turning to artificial intelligence (AI) to help catch shoplifters in the act. This tech-driven approach is revolutionizing how store security operates.

How AI Detects Shoplifting

Imagine a shopper trying to take advantage of a buy-one-get-one-free deal without actually paying for it. Now, picture a set of cameras equipped with AI technology that can detect such sneaky actions. This is precisely how solutions like Veesion function. Veesion's AI recognition technology is designed to integrate with existing security cameras, making it easier for store owners to monitor theft attempts in real time.

Understanding Veesion's Technology

Benoit Koenig, co-founder of Veesion, explains that their system detects gestures associated with potential shoplifting, such as hiding items in clothing or bags. Veesion's AI is already in use in over 4,000 stores globally, including 500 in the United States, and its presence continues to grow.

The Technical Breakdown

Veesion's system analyzes feeds from multiple cameras at once, looking for subtle cues that might escape the human eye. The technology is based on three core components:

  • Human Detection: Identifies individuals using a visual indicator, such as a red or green square.
  • Pose Estimation: Assesses the positioning of body parts to infer actions.
  • Object Recognition: Distinguishes between different items like backpacks or purses versus shopping bags.

Together, these components provide a probability score for potential shoplifting gestures, allowing store owners to act preemptively.

Reducing Bias with AI

A notable advantage of using AI like Veesion is its ability to operate without bias. Unlike human staff who might unconsciously stereotype suspects, the algorithm focuses solely on gestures and body movements. "The algorithm doesn't care about what people look like, it cares about gestures," Koenig emphasizes.

Real-time Alerts

If a shopper attempts to sneak an item, the AI generates a real-time video alert sent directly to the store owner's smartphone. This allows them to address the situation discreetly, such as offering the shopper a basket or assistance, thereby deterring theft before it occurs.

By adopting such innovative technologies, retail businesses are not only safeguarding their profits but also creating a more secure shopping environment for all.

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Lilu Anderson is a technology writer and analyst with over 12 years of experience in the tech industry. A graduate of Stanford University with a degree in Computer Science, Lilu specializes in emerging technologies, software development, and cybersecurity. Her work has been published in renowned tech publications such as Wired, TechCrunch, and Ars Technica. Lilu’s articles are known for their detailed research, clear articulation, and insightful analysis, making them valuable to readers seeking reliable and up-to-date information on technology trends. She actively stays abreast of the latest advancements and regularly participates in industry conferences and tech meetups. With a strong reputation for expertise, authoritativeness, and trustworthiness, Lilu Anderson continues to deliver high-quality content that helps readers understand and navigate the fast-paced world of technology.