Green Smart Solutions Technology JSC

Green Smart introduces a cross-zone suspicious subject tracking solution powered by AI, computer vision, and behavioral analytics—redefining modern surveillance capabilities. The system is especially suited for large-scale environments such as AEON Malls, airports, train stations, industrial parks, and high-end residential areas.

Proactive Surveillance for High-Traffic Environments

As commercial centers, urban complexes, and public infrastructure expand in scale and daily traffic, the need for smart, proactive security is no longer optional—it’s essential. A key capability is detecting and tracking suspicious individuals who exhibit abnormal behaviors such as lingering, repeated returns, or unusual movement patterns between zones.

Solution Objectives

This AI-powered solution enables behavioral surveillance across a distributed camera network, with core features including:

• Suspicious Behavior Detection: Identifies individuals who linger, return frequently, or appear across multiple monitored areas.

• Cross-Camera Journey Mapping: Reconstructs movement paths across different cameras, regardless of where the person first appears.

• Trend Analysis: Highlights hotspots—areas frequently visited by suspicious individuals—to help security teams allocate resources efficiently.

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Suspicious Behavior Detection (Cre: Green Smart)

Key Customer Benefits

• Early Detection, Risk Prevention: Instead of reviewing footage after incidents, the system proactively flags anomalies for real-time response.

• Remote Behavior Tracking: Track any individual's full journey via a few clicks—no manual camera review or rewinding required.

• Reduced Security Workload: Helps teams focus only on high-risk individuals, optimizing personnel and reducing costs.

• Clear Investigation Evidence: Stores complete journey records with snapshots, timestamps, locations, and video logs—ready for legal use or dispute resolution.

Highlight Features

• Live Monitoring Interface + ID Overlay: Real-time multi-camera view with person-specific ID labels (#1, #2…), capturing time, image, and system ID for each detection.

• Suspicious Journey History: Instantly access a person’s full movement log including:

  • Image snapshots per appearance

  • Time and camera ID

  • Click-to-play video at key events

• Mini Movement Map: Visual map showing route history with color/timeline indicators for easier behavioral analysis.

• Analytical Dashboard:

  • Frequent returnees within a day

  • Unusually long dwell times

  • High-risk zones with repeated suspicious presence

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Live Monitoring Interface + ID Overlay (Cre: Green Smart)

Deployment Process

Deployment follows a standardized workflow to ensure accuracy and performance:

1. Camera Mapping: Survey and map out all camera positions and intersection points.

2. Camera ID Assignment: Each camera is given a unique identifier.

3. AI Integration: The system uses AI to detect individuals and assign them temporary IDs.

4. Re-ID Technology: Matches individuals across different cameras using facial and behavioral traits.

5. Journey Consolidation: All appearances are linked into a seamless movement log.

6. Data Logging: Final output includes full journey records with timestamp, location, camera ID, and visual proof.

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Suspicious Journey History (Cre: Green Smart)

Conclusion

Cross-zone suspicious activity tracking is a major leap in security management. It enables a shift from passive monitoring to intelligent, real-time behavioral analysis—where every anomaly is automatically detected, analyzed, and escalated.

In an age where safety must be proactively managed, Green Smart delivers a practical, powerful, and integrable AI solution for next-gen surveillance systems.