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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Related Experiment Video

Updated: Oct 13, 2025

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Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras.

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  • 1OnTech Security LLC, C/Hispano Aviación, 7-9, 41300 Seville, Spain.

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Summary

This study introduces an advanced perimeter security system using control of electromagnetic fields (CEMF) sensing, cameras, and autonomous drones. The integrated solution significantly reduces false alarms and enhances intruder tracking capabilities.

Keywords:
CEMFalarmcamerasdetectordroneintrusionperimeterpreventive

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Area of Science:

  • Security Systems Engineering
  • Robotics and Automation
  • Electromagnetic Sensing Technologies

Background:

  • Traditional perimeter detection systems (e.g., infrared, radar) suffer from high false alarm rates and environmental sensitivity.
  • Existing solutions often require constant human supervision, increasing operational costs and reducing efficiency.
  • Limitations include weather interference, clearance area requirements, and privacy concerns.

Purpose of the Study:

  • To develop and present an integrated perimeter security system that overcomes the limitations of current technologies.
  • To enhance intruder detection accuracy and tracking capabilities while minimizing false alarms.
  • To provide a robust and reliable security solution adaptable to various environmental conditions.

Main Methods:

  • Integration of a perimeter security system based on control of electromagnetic fields (CEMF) sensing technology.
  • Utilizing a network of video cameras that activate only upon event detection.
  • Deployment of an autonomous drone equipped with computer vision for real-time intruder tracking.

Main Results:

  • The combined system effectively reduces false alarms and eliminates issues related to weather conditions.
  • Autonomous drone successfully tracks intruders using computer vision, even in complex scenarios.
  • The system provides continuous location data of intruders, regardless of environmental factors or crowd interference.

Conclusions:

  • The proposed integrated system offers a highly effective and reliable solution for perimeter security.
  • CEMF sensing, smart cameras, and autonomous drones synergize to provide superior detection and tracking.
  • This approach addresses key challenges in perimeter security, including false alarms, environmental robustness, and continuous monitoring.