AI

UGV Minefield Clearance

The AI UGV Minefield Clearance system detects and localizes mines using Ground Penetrating Radar, Metal Detector, and Thermal Camera. It processes data in real-time, enhancing efficiency and accuracy in minefield clearance.

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How it works

Our antenna solutions are designed to meet specific application requirements. We optimize designs for performance metrics like gain and directivity. Each antenna is constructed for exceptional signal clarity and reliability.

Data Acquisition and Preprocessing

Sensor data is captured from GPR and Metal Detectors. Preprocessing enhances quality and removes noise.

Signal and Image Processing

Processing techniques analyze sensor data, extracting key features essential for identifying threats in minefields.

Multi-Sensor Data Fusion

Sensor data creates an accurate view of the environment, reducing false positives.

Object Detection and Classification

AI algorithms detect mines and classify objects to differentiate hazardous from benign.

Localization and Decision Making

Detected mines' locations are found using sensors, allowing safe removal or further action.

Reporting & Continuous Feedback

Reports on mines aid planning, while feedback refines AI models to improve detection accuracy.

Object Detection and Classification

AI algorithms detect mines and classify objects to differentiate hazardous from benign.

Localization and Decision Making

Detected mines' locations are found using sensors, allowing safe removal or further action.

Reporting & Continuous Feedback

Reports on mines aid planning, while feedback refines AI models to improve detection accuracy.

Key features

Advanced Sensor Data Fusion

High Accuracy and Precision

RealTime Processing

Versatility and Integration

Continuous Improvement

Edge Device Deployment

Technical Skills

  • Computer Vision
  • Advanced Signal Processing
  • Advanced Image Processing
  • Data Acquisition and Data Analysis
  • Python
  • GPRmax Simulation
  • PyTorch / TensorFlow
  • Edge Device Deployment

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