Foresee the future

fighter jet flying under white clouds
fighter jet flying under white clouds

Mine Detection & Neutralization Drone System

An Autonomous Solution for Safe and Efficient Landmine Clearance

Landmines remain a deadly legacy of past conflicts, posing severe risks to civilians and hindering economic development. Traditional demining methods are slow, expensive, and dangerous, with human operators risking their lives daily. ALKOR’s Mine Detection & Neutralization Drone System revolutionizes this process by integrating AI-powered detection, real-time marking, and remote neutralization into a single autonomous platform—enhancing safety, speed, and accuracy in landmine clearance.

Challenges in Conventional Demining

  • Slow & Labor-Intensive: Manual demining teams clear only ~150 m²/day at high costs ( 300 – 300–1,000 per mine).

  • High Risk: For every 5,000 mines cleared, three operators are killed or injured.

  • Limited Detection: Single-sensor systems struggle with non-metallic mines (plastic, ceramic).

ALKOR’s Integrated Drone Solution

Our multi-rotor drone combines AI-driven sensors, real-time GIS mapping, and optional neutralization to automate the entire demining process.

Key Advantages

✔ Enhanced Safety: Removes personnel from hazardous zones.

✔ Faster Clearance: Covers large areas in hours (vs. weeks for manual teams).

✔ Higher Accuracy: Multi-sensor fusion detects both metallic & non-metallic mines.

✔ Full Automation: Operates day/night with minimal human oversight.

✔ Scalable & Modular: Adaptable to varied terrains (marshes, deserts, urban ruins).

  • Our multi-rotor drone combines AI-driven sensors, real-time GIS mapping, and optional neutralization to automate the entire demining process.

    1. Multi-Sensor Detection System

    • Magnetometer: Detects metallic components (suspended to avoid interference).

    • Ground-Penetrating Radar (GPR): Identifies non-metallic mines via subsurface anomalies.

    • Thermal Imaging: Captures heat signatures of buried mines (effective at dawn/dusk).

    • Multispectral Camera: Visually identifies disturbed soil or surface-level threats.

    AI-Powered Fusion: Machine learning algorithms analyze sensor data in real time, achieving >92% detection accuracy while filtering false positives (debris, rocks).

    2. Real-Time Physical Marking

    Upon detection, the drone automatically marks mine locations using:

    • High-visibility paint spray (directly over the threat).

    • Deployable flags/beacons (for long-term marking).

    • Color-coded indicators (showing mine type/confidence level).

    3. Precision GIS Mapping

    • RTK-GPS geotagging ensures cm-level accuracy.

    • Live GIS dashboard (e.g., QGIS integration) logs mine locations, confidence scores, and environmental data.

    • Exportable reports for demining teams and authorities.

    4. Optional Remote Neutralization

    For high-risk zones, ALKOR’s drone can be equipped with:

    • Robotic arm for placing detonators or disarming devices.

    • Directed explosive charges (e.g., thermite) for controlled detonation.

    • Safety protocols ensure the drone maintains a safe distance before neutralization.

Applications

  • Military & Humanitarian Demining (post-conflict zones).

  • Infrastructure Projects (road/railway clearance).

  • Disaster Response (UXO detection after bombings).

Mission

To revolutionize landmine clearance through autonomous drone technology that detects, marks, and neutralizes threats with unmatched speed, accuracy, and safety - saving lives and restoring land to communities affected by conflict.

Vision

At ALKOR, we envision a world free from landmine casualties through advanced AI-powered demining systems that integrate multi-sensor detection (magnetic/thermal/GPR/visual) for >92% accuracy, real-time GIS mapping with precision marking, and optional remote neutralization.

By replacing risky manual clearance with scalable drone technology, we're making post-conflict lands safe 10x faster at 1/5 the cost – ensuring safer futures for generations.