Unmanned Reconnaissance
​LG CNS provides an advanced unmanned reconnaissance solution that enhances security through autonomous patrol systems. By integrating AI-driven robot dogs and drones, these solutions ensure continuous surveillance, rapid anomaly detection, and seamless system integration. The combination of real-time monitoring, autonomous navigation, and AI-powered analytics offers an effective approach to warehouse security and operational efficiency.
Robot Dog Patrol System
Robot dogs provide intelligent ground-based security by autonomously patrolling designated areas, detecting anomalies, and engaging in real-time monitoring to enhance perimeter defense.
Features
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Autonomous and remote-controlled patrolling for flexible security deployment
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AI-powered object detection to identify unauthorized personnel and suspicious activities
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Integrated thermal cameras and microphones for enhanced situational awareness
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RFID/ID card scanning for automated personnel verification
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Two-way communication capability for real-time security response
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Instant alert system with SMS and push notifications to security control centers
Benefit
Robot dogs enhance security operations by providing continuous, intelligent ground-based surveillance, reducing the need for human intervention and improving response times to potential threats.
Drone Surveillance System
Drones offer high-coverage aerial surveillance, enabling real-time tracking of large facilities, automated security patrols, and rapid event response through AI-powered analytics.
Features
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Real-time aerial monitoring for comprehensive site surveillance
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GPS-based autonomous flight with manual control override
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AI-powered barcode/QR scanning for automated asset tracking
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Thermal imaging and night vision for low-light security monitoring
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Event-driven alert system for intrusion detection, illegal parking, and fire hazards
Benefits
Drones provide high-visibility, real-time aerial surveillance, allowing rapid situational assessment and proactive security response across large and complex environments.