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

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.