Mining Site Security and Perimeter Monitoring

Monitors remote mining site perimeters to detect unauthorized access, theft, and vandalism, supporting incident verification despite limited network connectivity.

The Problem

“AI-powered perimeter security and incident verification for remote mining sites”

Organizations face these key challenges:

1

Intermittent or low-bandwidth connectivity prevents reliable centralized video monitoring

2

Large perimeters create blind spots and make manual patrol coverage inconsistent

3

Dust, darkness, rain, fog, and vehicle headlights degrade conventional camera monitoring

4

Motion sensors and basic analytics generate excessive nuisance alarms from wildlife and weather

Impact When Solved

Reduce false alarms from motion-only systems by combining vision and sensor verificationDetect perimeter breaches in near real time using edge inference without requiring constant cloud connectivityTransmit only event clips and metadata to conserve satellite, LTE, or microwave bandwidthImprove incident response with automated alert prioritization and geolocated evidence

The Shift

Before AI~85% Manual

Human Does

  • •Monitor CCTV feeds and motion alarms for perimeter activity
  • •Conduct patrols across gates, fences, and high-risk asset areas
  • •Verify suspected intrusions by reviewing footage and contacting on-site personnel
  • •Dispatch guards or escalate incidents after manual assessment

Automation

    With AI~75% Automated

    Human Does

    • •Review prioritized intrusion alerts and decide response actions
    • •Approve escalations for high-risk breaches, theft, or hazardous-zone access
    • •Handle ambiguous or exceptional events that need human judgment

    AI Handles

    • •Continuously monitor perimeter camera and sensor feeds at the edge
    • •Detect, fuse, and verify likely intrusion events across video and sensors
    • •Prioritize alerts and generate geolocated event summaries with evidence clips
    • •Synchronize confirmed incidents, metadata, and case records when connectivity is available

    Operating Intelligence

    How it works

    AI watches every signal continuously.

    Humans investigate what it flags.

    False positives train the next watch cycle.

    Confidence95%
    ArchetypeMonitor & Flag
    Shape6-step linear
    Human gates1
    Autonomy
    67%AI controls 4 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapelinear

    Step 1

    Observe

    Step 2

    Classify

    Step 3

    Route

    Step 4

    Exception Review

    Step 5

    Record

    Step 6

    Feedback

    AI lead

    Autonomous execution

    1AI
    2AI
    3AI
    5AI
    gate

    Human lead

    Approval, override, feedback

    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    AI observes and classifies continuously. Humans only engage on flagged exceptions. Corrections sharpen future detection.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

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