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🔍 All the latest news on AI for retail security!
Why Mainstream Analysis Is Essential for Quality Video Analytics
Understanding the two approaches: Mainstream and Substream In-store video analysis relies on data streams captured by cameras installed in the commercial environment. These streams can be processed using two approaches: *mainstream* and *substream*. The mainstream corresponds to the primary video stream, usually in high definition, which
Real-Time Fall Detection: How AI Helps Protect Stores, Hospitals, and Warehouses
Enhancing in-store security: the advantage of fall and medical incident detection by artificial intelligence đźš‘ The safety of customers and employees is an absolute priority for any retail space, whether it's a supermarket, a pharmacy, or a DIY store. Beyond the risks of theft,
How AI Combats Shrinkage and Protects Your Retail Chains
The challenge of shrinkage for retail chains đź›’ Shrinkage, which includes shoplifting, administrative errors, and supplier fraud, represents a significant loss of revenue for retail chains. Whether it's supermarkets, pharmacies, or
Shrinkage: The Guide to Understanding, Calculating, and Acting in Retail
🧵 Understand and Act: What Is Shrinkage and Why Does It Impact Your Business? Shrinkage, the discrepancy between your theoretical stock (what your records show) and the actual stock found during a physical inventory count, represents much more than a simple accounting difference. It is a net loss
Optimize Your Sales Floor with Smart Heatmaps
Heatmaps, or heat maps, are visual representations of spatial data that show where customers spend the most time in a store. Thanks to artificial intelligence and the surveillance cameras already present in many points of sale, these maps accurately reveal the areas
Mapping Suspicious Gestures: Anticipate Risks Before They Become Losses
A new dimension in the analysis of suspicious in-store behavior The adoption of suspicious gesture heatmaps allows stores to transform complex data into clear, actionable visual information. These visualizations identify 'hot' zones – that is, those where suspicious gestures or at-risk behaviors