Category: Use cases

Retail analytics: heatmaps and people counting solution

Retail analytics: heatmaps and people counting solution

people counting and analytics in retail supermarkets People counting technology records the number of people entering and leaving a space and it reports movement inside. The technology spans overhead sensors, camera-based counts, and AI. Retailers use people counting to see how many shoppers arrive during an hour. As a result, they can allocate staff, reduce […]

Shoplifting detection with AI-powered video analytics

Shoplifting detection with AI-powered video analytics

Understanding Retail Theft and Shrinkage in Retail Stores Shoplifting detection and broader retail security begin with clear definitions. Retail theft is the loss of inventory through external or internal actions, and shrinkage is the aggregate of those losses including damage, error, and theft. Globally, retailers report steady pressure from retail crime, and shrinkage eats into […]

AI video analytics for retail operations

AI video analytics for retail operations

video analytics for retail Video analytics for retail turns cameras into live sensors. Today AI and computer vision convert in-store cameras into data sources that drive decisions. First, the system detects people and movement. Then it measures footfall, dwell time, and traffic patterns. Also it builds heatmaps that show where shoppers stop. In addition, queue […]

Real-time AI teller queue wait time analytics

Real-time AI teller queue wait time analytics

Real-time Queue Analytics: Data-driven Wait Time Metrics Real-time queue analytics delivers immediate, actionable insight into teller lines. It tracks people in line, service times, and sensor events so managers can act quickly. For banks, this approach transforms CCTV and POS logs into operational signals. Visionplatform.ai turns existing cameras into a sensor network that detects people […]

Left-behind object detection in bank video surveillance

Left-behind object detection in bank video surveillance

detection system in Banking and Finance Left-behind object detection acts as a core detection system inside bank branches. It monitors lobbies, counters, ATMs and waiting areas. It helps bank security teams spot abandoned objects and suspicious items quickly. Banks prioritize customer safety and asset protection, and this detection system strengthens those goals. AI and computer […]

Fraud prevention: AI suspicious behavior detection in banks

Fraud prevention: AI suspicious behavior detection in banks

AI Is Transforming Fraud Detection in Banking AI is transforming fraud detection in banking by analyzing vast transaction data and user behavior in real time. Banks now rely on AI to digest millions of transactions and spot subtle patterns that humans would miss. Machine learning, neural networks and behavioral biometrics give systems the power to […]

Bank Branch Occupancy Analytics: Optimise Space Utilisation

Bank Branch Occupancy Analytics: Optimise Space Utilisation

understanding occupancy Understanding occupancy begins with a clear definition. In a bank-branch context, occupancy covers headcount, dwell time, and how space is used. Also, occupancy refers to the number of customers and staff present, the time they spend, and the distribution of people across counters and waiting areas. For managers, this single view supports better […]

ATM lobby safety analytics with cameras

ATM lobby safety analytics with cameras

ATM Surveillance: Enhancing Coverage with Security Camera Systems ATM lobbies require clear sightlines and robust coverage. Banks place surveillance at entrances, exits and around each ATM to protect customers and assets. Camera placement matters. Positioning multiple cameras reduces blind spots and helps a security team respond fast. Also, a well-planned layout supports both real-time monitoring […]

Queue detection and video surveillance with AI in banks

Queue detection and video surveillance with AI in banks

AI-driven Queue Management and Video Surveillance System An AI-driven queue management approach combines video surveillance with analytics to help banks manage customer flow. First, cameras feed a video stream into AI models that detect people, count them, and tag activity. Next, systems publish structured events to operations tools so branches can adjust staffing and respond […]

Milestone XProtect AI analytics for banking

Milestone XProtect AI analytics for banking

milestone xprotect vms: video management software for video surveillance in banking Milestone XProtect VMS has become a standard choice for banks that need reliable, scalable video management. The platform combines an open architecture with flexible deployment options so teams can use cameras from many vendors and keep data under local control. Banks deploy xprotect vms […]

Customer portal