From Footfall to foresight: Revolutionizing retail analytics with real-time edge AI

In today's data-driven world, businesses across every sector - from retail and public venues to smart buildings and industrial environments - share a common challenge: understanding and optimizing their physical spaces. How many people visit a location? Where do they spend their time? When are the peak hours of activity? Answering these questions is fundamental to improving customer experience, boosting operational efficiency, and driving revenue.

Traditionally, gathering this data has been a trade-off between accuracy, privacy, and cost. Manual counting is error-prone and doesn't scale. Cloud-based video analytics raise significant data privacy concerns, introduce latency, and rely on costly, high-bandwidth internet connections. For businesses that need immediate, reliable, and secure insights, a different approach is required. The intelligence needs to move from the centralized cloud to the source of the data: the edge.

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