Combating shoplifting is a major challenge for businesses, who are constantly seeking to protect their products while offering an impeccable customer experience. Two main categories of solutions are generally implemented: video surveillance systems and anti-theft systems . In this article, we will explore these technologies, how they work, and how they can be optimized through innovations in Artificial Intelligence.
Traditional surveillance cameras remain a cornerstone of security in retail. They allow for the visualization and recording of suspicious behavior, often serving as an effective deterrent. However, their effectiveness largely depends on human vigilance, which can lead to errors or delayed intervention.
Artificial Intelligence-powered video surveillance is revolutionizing this approach. Through behavioral analysis, AI detects real-time suspicious gestures specific to shoplifting. Oxania offers solutions capable of automatically identifying suspicious actions, reducing losses while freeing up time for security teams.
🎥 Video Surveillance Systems
Surveillance cameras are the first line of defense against malicious behavior. Installed at strategic points, they cover sensitive areas such as cash registers, high-value aisles, or exits. Their presence is deterrent, and recordings can serve as evidence. However, they require constant human monitoring for maximum effectiveness, which can represent a high cost for businesses.
This is where Artificial Intelligence-powered video surveillance comes in. Instead of solely relying on human observation, intelligent systems automatically identify behavioral anomalies. For example, actions like concealing items under clothing or repetitive movements around a shelf can be detected and flagged in real-time. Oxania offers AI technologies that integrate these functionalities.
By combining traditional recordings with intelligent analysis, retailers gain in reactivity and efficiency, while respecting customer privacy through precise configuration of behavioral analysis systems.
🔒 Anti-theft Systems
Traditional anti-theft systems , complementary to video surveillance, allow for physical action on theft attempts. Adhesive or rigid anti-theft tags are attached to sensitive products. When a person attempts to leave the store without deactivating the tag, an alarm is automatically triggered by the gates installed at the exit. This simple but effective system is now widely used in all sectors, from ready-to-wear to DIY.
Among the gate technologies, three main categories can be distinguished: Radio Frequency (RF) gates , Electromagnetic (EM) gates , and Acousto-Magnetic (AM) gates . Each type has its advantages, depending on the nature of the protected products and the store's configuration. AM systems, for example, are particularly resistant to interference and suitable for high-traffic environments.
In addition, specific devices like anti-theft badges and bottle anti-theft devices are used to secure highly targeted products. Bottle anti-theft devices are very popular in the food sector for effectively protecting bottles without compromising their visual presentation.
🚀 Towards Enhanced Security through Innovation
The future of loss prevention lies in the integration of smarter technologies capable of combining physical surveillance with automated behavioral analysis. Businesses that adopt a proactive approach and invest in modern solutions like those offered by Oxania observe a reduction in shoplifting.
Thanks to the intelligent analysis of suspicious gestures associated with shoplifting , security teams can focus on genuinely problematic situations rather than staring at screens for hours. This improves operational efficiency and reduces workplace stress, while strengthening asset protection.
Adopting solutions combining intelligent video surveillance and effective anti-theft systems thus becomes an essential strategy for any business seeking to combine security, smooth customer experience, and increased profitability. The path to safer and more welcoming stores involves intelligent innovation.
