Automated Theft Detection for Self-Checkout Kiosks

Last Updated: November 29, 2024

In the retail industry, self-checkout kiosks have revolutionized the shopping experience by offering convenience and efficiency. However, they also present new challenges, particularly in terms of theft and shrinkage. Retailers are increasingly concerned about shoplifting and accidental non-scans that can occur during self-checkout processes. Addressing these issues is crucial for maintaining profitability and operational efficiency. Stura.io offers advanced solutions to tackle these challenges head-on, utilizing cutting-edge computer vision technology to enhance security and accuracy at self-checkout kiosks.

Industry Applications

Solution Overview

Stura.io provides a comprehensive automated theft detection solution specifically designed for self-checkout kiosks. By leveraging state-of-the-art computer vision algorithms, our solution can accurately monitor and analyze customer interactions at these kiosks in real-time. Our system is capable of identifying suspicious behaviors, such as item swapping, non-scans, and under-scanning, by analyzing the video feeds from multiple angles. Using machine learning models tailored to the specific layout and product range of each store, we ensure high accuracy and minimal false positives.

Our solution integrates seamlessly with existing self-checkout systems, providing alerts to store personnel when potential theft is detected. This allows for immediate intervention, reducing losses and improving overall security. With our expertise in custom computer vision solutions, we offer a scalable and adaptable approach that meets the unique needs of each client, ensuring a significant reduction in shrinkage and improved customer trust.

Key Benefits

Get Started Today

Contact Stura.io today to explore how our custom computer vision solutions can enhance security and efficiency at your self-checkout kiosks.

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“We have been using Stura's technology for airport passenger flow analytics. The accuracy and stability of the technology makes it very promising to develop indoor monitoring applications for the aviation industry”

Antonio Correas

Co-founder / Chief Product Officer, Skymantics

“Stura provides us with computer vision algorithms for our smart cameras. Their technology is highly optimized and very accurate. We are excited to keep working with them on our next generation of boards for advanced video analytics at the edge.”

Sylvain Bernard

Founder at SIANA Systems

“Stura's custom computer vision solutions have been a game changer for our industry. Their team took the time to understand our unique requirements and delivered a solution that seamlessly integrates with our existing systems.”

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