In retail, logistics, and critical infrastructure security sectors, detecting suspicious or abnormal behavior quickly is essential for preventing losses and mitigating risks A common risk scenario is when individuals loiter or linger in restricted or high-value areas (e.g., product aisles, exits, stockrooms, or sensitive perimeters) beyond normal dwell times, behavior that may indicate theft, intrusion, or a developing security threat. Traditional methods rely on manual CCTV monitoring or basic motion alerts, which are often labor-intensive, prone to false positives, and slow to respond.
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 solution leverages a GStreamer-based video pipeline integrated with AI models for person detection and multi-object tracking (MOT). Security teams can define Regions of Interest (ROIs) within each camera view, such as entrances, exits, restricted zones, or high-value product aisles.
The system continuously calculates dwell time within each ROI for every detected individual. When time exceeds a configurable threshold, the system automatically triggers an alert or logs the event for review, enabling early detection of loitering, intrusion, or potential marauding behaviors.
Designed for real-time edge deployment, the system minimizes latency. It reduces bandwidth requirements while supporting centralized deployments for large-scale environments such as retail chains, logistics hubs, and critical infrastructure facilities.
How did we solve monitoring on the edge?
The solution leverages a GStreamer-based video pipeline integrated with AI models for person detection and multi-object tracking (MOT). Security teams can define Regions of Interest (ROIs) within each camera view, such as entrances, exits, restricted zones, or high-value product aisles.
The system continuously calculates dwell time within each ROI for every detected individual. When time exceeds a configurable threshold, the system automatically triggers an alert or logs the event for review, enabling early detection of loitering, intrusion, or potential marauding behaviors.
Designed for real-time edge deployment, the system minimizes latency. It reduces bandwidth requirements while supporting centralized deployments for large-scale environments such as retail chains, logistics hubs, and critical infrastructure facilities.
The value we deliver: How we boost your business
Risk Reduction
Proactively identifies suspicious behavior to prevent loss
Information
Alerts security teams to potential threats in real-time
Product Quality
Provides reliable, high-quality detection capabilities
Reduced Anxiety
Enhances the overall sense of security for the organization
Risk Reduction
Proactively identifies suspicious behavior to prevent loss
Information
Alerts security teams to potential threats in real-time
Product Quality
Provides reliable, high-quality detection capabilities
Reduced Anxiety
Enhances the overall sense of security for the organization