AETOS SURVEILANCE SOLUTIONS

VISION. INTEGRATION. SAFETY.

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Who are we?

We design and implement security systems while incorporating stakeholder insights and community participation to enhance safety, reduce risk, and improve our clients' ESG performance.

Vision

We envision a mining environment where advanced surveillance and strong partnership with the community work together to ensure zero disruptions, maximum safety, and future success.

Mission

We aim to shift mining security from a reactive to a proactive approach, collaborating with the community and leveraging advanced technology.

Core Services

  • We integrate advanced technologies like AI-powered cameras, drones, and thermal imaging directly into live mining operations. This ensures that we proactively identify any irregular activities and prevent cable theft before it happens.
  • Designing and governing proactive, community-based safety systems where the local community becomes human risk sensors and partners.
  • Translating deep community insights into collaborative jobs and education opportunities that protect your Social License to Operate (SLO) and ESG metrics.
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The Problem

Kumba Iron Ore has been experiencing significant logistics disruptions due to theft of copper cables along the 861 km railway corridor between Sishen Mine and Saldanha Port.

These incidents, often linked to organised syndicates and economically disadvantaged communities, have led to frequent derailments and interruptions in the rail operations. As a result, the company has been unable to transport iron ore efficiently.

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Stakeholder Insights

Community: Experiencing severe poverty and unemployment. Lack of alternatives drives members to cable theft as a survival strategy or through syndicate recruitment.
Security Teams: Primarily reactive. Lack the capability to detect theft early, resulting in delayed responses post-incident.
Operations & Transnet: Rail line stoppages force reduced production, leading to material revenue losses (1.9B lost by Transnet in 24/25) and lower profitability.

The Solution

MagnaShield-RailDefender

MagnaShield-Rail Defender (MRSD) is an AI-driven railway track sensor that patrols the 861km railway corridor that connects the Kumba Iron Ore Sishen mine to Saldanha Port.

  • Attached directly to the railway line.
  • Moves 5 km ahead of the train to detect surroundings.
  • Identifies potential sabotage, vandalism, and theft of overhead copper cables.
  • Equipped with GPS, a Smart Camera, and an Advanced AI Audio recorder.
  • Detects missing cables and unauthorized movements in the corridor.

How it Works

Concept Description and Solution Logic

MagnaShield-RailDefender Concept
Click to expand image

Running 861 km from mine to port, the MagnaShield-RailDefender (MSRD) stands watch over the Sishen-Saldanha corridor. This autonomous AI unit creates a digital "buffer" around the tracks, providing the proactive surveillance needed to outmaneuver sabotage and stop copper theft in its tracks.

Core Operational Workflow

The MSRD system operates through a continuous cycle of patrol, detection, and rapid communication:

  • Deployment and Positioning: The unit is installed 5 meters above the track directly on the overhead copper cables. It maintains a constant lead distance of 5 km ahead of the train.
  • Autonomous Patrol: Utilizing GPS technology, the device tracks its real-time location and movement along the corridor. It travels at speeds calibrated to the train's average speed (45 km/h), ensuring that if a hazard is detected, the train has sufficient "safe stopping distance" (which averages 3 km).
  • Multimodal Sensing & AI Detection:
    • Visual: A multi-spectral AI camera identifies cut cables, loose wires, unauthorized vehicles, or human activity near the infrastructure.
    • Acoustic: An integrated AI audio recorder captures sound signatures within the corridor to detect manual interference or sabotage.
    • Electrical: An Advanced AI Fault Detection unit monitors the presence of electricity. If the unit stops sensing a current, it triggers an immediate "Voltage Failure Signal".

Incident Response Logic

When the MSRD identifies a threat or infrastructure failure, it executes an automated notification protocol to three primary endpoints:

Recipient Action Taken
Train Driver Receives a real-time alert to engage the emergency brakes in time to prevent derailment.
AETOS Control Room Receives live video/audio feeds and GPS coordinates to dispatch security patrol teams to the exact location.
SAPS Provided with captured audio and video evidence to facilitate the arrest of suspects.

Technical Specifications Summary

Corridor Coverage: 861 km.
Sensor Lead Distance: 5 km.
Detection Inputs: Multi-spectral video, AI audio, and Voltage monitoring.
Investment/Scale: R3 million capital investment to produce and deploy a fleet of 100 MSRD devices.
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Value Proposition

Our solution creates value for Kumba by enabling continuous, real-time surveillance and early detection of cable theft and rail infrastructure sabotage across the entire 861 km corridor.

Predictive Monitoring

The MRSD actively patrols by moving ahead of the train, allowing threats to be identified before they impact operations through GPS, smart cameras, and AI audio detection.

Rapid Response

Enables immediate alerts and rapid response, significantly improving Kumba's ability to prevent incidents rather than react to them.

Operational Safety

Operating up to 5 km ahead of the train provides drivers with sufficient advance warning of compromised sections, allowing safe deceleration and reducing the likelihood of derailments.

Financial Security

By transitioning from a reactive security approach to an intelligent system, the solution improves rail reliability, minimizes financial losses, and strengthens protection of infrastructure.