Left-behind object detection in malls with AI

Left-behind object detection in malls with AI

Video analytics and surveillance: ai object detection of abandoned object Left-behind object detection in mall environments starts with a clear definition. It refers to software that spots a static item that remains in a public area for a certain period of time and could be an abandoned object or simply a forgotten personal item. In […]

AI detection for loitering and crowding in shopping malls

AI detection for loitering and crowding in shopping malls

AI Surveillance Foundations for Shopping Mall Security AI surveillance is the backbone of modern shopping mall security. It uses artificial intelligence to turn camera streams into actionable events that security teams can use. For example, Visionplatform.ai turns existing CCTV into an operational sensor network that can detect people, vehicles, ANPR/LPR, PPE and custom objects in […]

Mall occupancy and footfall analytics for people counting

Mall occupancy and footfall analytics for people counting

footfall analytics in shopping mall management Footfall analytics tracks how many people move through a shopping mall and what they do while they are there. For mall management, footfall gives a clear measure of health. Also, it ties visitor numbers to sales, tenant performance and service delivery. Therefore, mall operators can use those metrics to […]

AI Slip-and-Fall Detection in Retail for Workplace Safety

AI Slip-and-Fall Detection in Retail for Workplace Safety

Understanding slip and fall and trip and fall hazards Slip and fall incidents occur when a foot loses traction and a person falls, while trip and fall accidents happen when an obstacle causes a person to stumble. Both modes cause injuries and disrupt retail operations. Retail stores face common hazard scenarios such as wet floors […]

Real-time shelf stock-out detection using cameras

Real-time shelf stock-out detection using cameras

shelf monitoring in retail store: current out-of-stock challenges Retail teams still rely heavily on manual shelf monitoring, and this creates costs and gaps. Staff walk aisles, scan planograms, and record shelf conditions on clipboards or tablets. These routines are labour intensive and often inconsistent, so human error leads to missed signs of low stock. For […]

Queue management with CCTV in checkout lanes

Queue management with CCTV in checkout lanes

Queue management with CCTV in checkout lanes Queue Management System Fundamentals at Retail Checkout Lines A modern store cannot ignore the pressure of long lines. Retailers now use a queue management system to keep pace with peak hours and shifting customer patterns. This management system turns passive video into operational signals that trigger action. For […]

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