Sentinel — Autonomous Perimeter Surveillance

Guards can't be everywhere on a 400-acre site at 2 a.m. Sentinel fuses fixed cameras with an autonomous patrol drone so the perimeter watches itself — and when something trips a virtual tripwire, a drone is already on its way to look.

Computer VisionDrone AutonomyRTSPDeepStreamGeofencingRe-ID TrackingKubernetesWebRTC

Industry

Critical Infrastructure / Security

Scale

Large · Multi-site

Status

Production

// Problem

The challenge

Large industrial and utility sites are expensive to guard and full of blind spots. Static cameras generate a flood of motion alerts — most of them deer, weather, and shadows — until operators stop trusting them. The client needed fewer, better alarms and a way to verify a real intrusion without sending a person into the dark.

// Solution

What we built

A layered surveillance platform that turns dozens of noisy cameras into a handful of trustworthy, verified events.

A vision pipeline over existing RTSP cameras that detects and classifies people, vehicles, and objects, suppressing animal and environmental false alarms
Operator-drawn geofences and tripwires that define exactly what matters where — and only at the hours that matter
Cross-camera re-identification so a single intruder is tracked as one event as they move across the site, instead of ten separate alarms
Autonomous response drone: a verified breach auto-launches a drone to the alarm's coordinates and streams live thermal/RGB to the operator
Full chain-of-custody event log with clips, tracks, and timestamps for incident review

// Architecture

How it works

GPU inference nodes (NVIDIA DeepStream) process camera streams at the edge of each site and publish structured events to a central, containerized control plane orchestrated on Kubernetes. Drone tasking, geofence rules, and live video relay (WebRTC) are coordinated from one operator console that can oversee multiple sites at once. Everything degrades gracefully — a site keeps detecting and recording even if its uplink to the central console drops.

// Outcome

Results

Nuisance alarms down by an order of magnitude, restoring operator trust in the system
Mean time to verify an alarm cut from minutes to seconds with auto-dispatched aerial eyes
One operator now meaningfully covers what previously took a roving patrol
Draws directly on a background in perimeter protection, threat detection, and incident-response R&D

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