AI-Based UGV Surveillance System
ARTech Unlimited's UGV Surveillance System is an AI-powered software platform designed for Unmanned Ground Vehicles (UGVs) operating in defence and security environments. The system delivers continuous, intelligent situational awareness by combining real-time video monitoring with advanced machine learning algorithms — enabling autonomous threat detection without requiring constant human oversight.
At its core, the platform provides real-time video monitoring across multiple camera feeds simultaneously. Onboard AI processes each frame to perform object detection, classifying vehicles, equipment, and environmental features with high accuracy. The human detection module identifies personnel in the field — distinguishing individuals from background clutter even in challenging lighting conditions, cluttered terrain, or partial occlusion scenarios.
The system is built for integration with existing UGV hardware and command-and-control infrastructure. Alerts and annotated video streams are relayed to operators in real time, enabling rapid decision-making. Designed for reliability in contested environments, the software operates efficiently on edge computing hardware, minimizing latency and reducing dependence on high-bandwidth communication links.
Key Capabilities
Real-Time Video Monitoring
Continuous multi-feed video processing with low-latency streaming to operator consoles. The system handles simultaneous input from multiple onboard cameras, providing a comprehensive view of the UGV's surroundings at all times.
Object Detection
Deep learning-based object detection identifies and classifies vehicles, weapons, infrastructure, and other relevant objects within the camera's field of view. Bounding boxes and confidence scores are overlaid on the live feed for operator clarity.
Human Detection
Specialized human detection algorithms identify personnel in complex environments, including low-light conditions, dense vegetation, and urban settings. The module supports configurable alert thresholds to match mission-specific rules of engagement.