real-time video anomaly detection
Monitors live CCTV feeds to identify suspicious activities, unusual behavior patterns, and potential security threats in real-time. Automatically flags anomalies without requiring manual surveillance review.
loss prevention incident flagging
Automatically detects and flags potential loss prevention incidents such as shoplifting, employee theft, and organized retail crime. Creates incident records with video evidence for investigation and prosecution.
store layout optimization analysis
Provides data-driven recommendations for store layout improvements based on customer traffic patterns, dwell times, and product interaction data. Helps optimize merchandise placement and store design.
incident timeline reconstruction
Automatically reconstructs detailed timelines of incidents by analyzing video footage and extracting key events, movements, and interactions. Creates comprehensive incident narratives for investigation and documentation.
customer behavior heatmap generation
Analyzes video footage to create visual heatmaps showing customer movement patterns, dwell times, and traffic flow throughout the store. Identifies high-traffic zones and areas where customers spend the most time.
dwell time and engagement tracking
Measures how long customers spend in specific areas of the store, at product displays, or in checkout zones. Provides insights into customer engagement levels and product interest.
staffing optimization recommendations
Analyzes customer traffic patterns and queue lengths to recommend optimal staffing levels for different times and locations. Helps match staff availability to customer demand.
multi-location surveillance aggregation
Centralizes video monitoring and incident detection across multiple retail locations into a single dashboard. Enables security teams to monitor and manage all stores simultaneously.
+4 more capabilities