In retail, logistics, and security environments, identifying suspicious or abnormal behavior is crucial for loss prevention and risk mitigation. One common pattern—marauding—involves individuals lingering in sensitive areas (e.g., restricted zones, exits, or product aisles) beyond normal dwell times. Traditionally, such behavior is detected through manual surveillance or simple motion-triggered alerts, which are often imprecise or resource-intensive.
AI-powered computer vision now enables a more robust approach by combining person detection, tracking, and region-of-interest (ROI) analysis to identify individuals who remain in defined zones longer than expected—automatically flagging potential threats or anomalies in real time.
Conceptual Design
How did we solve monitoring on the edge?
The system uses a GStreamer-based pipeline integrated with AI models for person detection and multi-object tracking (MOT). Security teams define specific Regions of Interest (ROIs) within camera views—such as entrances, exits, or product shelves.
For each detected individual, the system calculates the duration spent inside each ROI. If the dwell time exceeds a configurable threshold, the system generates an alert or logs the event for review. This approach enables proactive threat detection without requiring constant human monitoring. The system can operate on edge devices for real-time performance or be centrally deployed for large-scale environments.
Conceptual Design
How did we solve monitoring on the edge?
The system uses a GStreamer-based pipeline integrated with AI models for person detection and multi-object tracking (MOT). Security teams define specific Regions of Interest (ROIs) within camera views—such as entrances, exits, or product shelves.
For each detected individual, the system calculates the duration spent inside each ROI. If the dwell time exceeds a configurable threshold, the system generates an alert or logs the event for review. This approach enables proactive threat detection without requiring constant human monitoring. The system can operate on edge devices for real-time performance or be centrally deployed for large-scale environments.
The value we deliver: How we boost your business
Risk Reduction
Proactively detects behavior patterns associated with theft, loitering, or tampering before incidents occur.
Cost Reduction
By lowering dependence on manual surveillance, organizations can reduce operational expenses.
Trust & Brand Protection
Enhances the perception of safety and control in stores, warehouses, or public venues—reinforcing customer and employee confidence.
Risk Reduction
Proactively detects behavior patterns associated with theft, loitering, or tampering before incidents occur.
Cost Reduction
By lowering dependence on manual surveillance, organizations can reduce operational expenses.
Trust & Brand Protection
Enhances the perception of safety and control in stores, warehouses, or public venues—reinforcing customer and employee confidence.