Design of an Infrared Detection System Integrated with a 2.4GHz Patch Antenna for Wireless Surveillance Applications

Abstract

This project describes the design and development of an infrared (IR) sensor system combined with a 2x2 rectangle microstrip patch antenna operating at 2.4GHz for wireless communication in surveillance applications. The system uses infrared technology to detect obstacles or intrusions by capturing IR radiation from objects. The detected signals are processed and transmitted wirelessly through a compact 2.4 GHz patch antenna, allowing real - time monitoring over a reliable connection. By combining infrared sensors with RF communication, the system improves remote monitoring, reduces the need for wired infrastructure and allows flexible use in various environments. The 2.4 GHz frequency band was chosen because it is widely available, affordable and works well with existing wireless systems. The antenna is designed to provide high gain, bandwidth and efficiency for stable data transmission. This system is ideal for security and surveillance tasks such as border monitoring, industrial safety and smart environments. It offers benefits like low power use, cost - effectiveness, a compact design and reliable detection, making it a strong alternative to traditional surveillance systems.

Introduction

The project addresses limitations of traditional surveillance systems, which often rely on wired networks and commercial sensors that lack flexibility, scalability, and real-time responsiveness. To overcome these issues, the proposed system integrates three key components: a custom-built infrared (IR) sensor for improved intrusion detection accuracy, a 2.4 GHz microstrip patch antenna for efficient wireless communication, and a Tang Nano 9K FPGA for high-speed, parallel real-time signal processing. Together, these components aim to deliver a low-cost, high-performance surveillance solution suitable for public safety, industrial monitoring, and smart infrastructure.

The literature review highlights advances in infrared sensing technologies, including photodiodes, thermopile sensors, and nano-antenna-based detectors, which improve sensitivity, response time, and efficiency but still face challenges such as noise, limited range, and environmental interference. IR systems are widely used in healthcare monitoring, human detection, transportation, and wireless communication, often achieving good accuracy and low power consumption, but suffering from issues like false triggers, limited range, and calibration difficulties. AI-based infrared imaging improves detection performance but introduces computational complexity and real-time processing constraints.

A comparative summary of prior work shows wide variation in sensor frequency, range, sensitivity, and response time, with many systems optimized for specific applications but lacking overall robustness.

Finally, the system is positioned for applications in industrial automation (e.g., object counting and tracking), smart security (e.g., wireless perimeter monitoring), IoT infrastructure (e.g., smart parking and lighting control), and advanced robotics (e.g., proximity sensing and sensor fusion).

Conclusion

The proposed project demonstrates the design and implementation of an infrared (IR)-based surveillance system integrated with a 2. 4 GHz microstrip patch antenna for efficient wireless communication. A custom IR sensor is developed to improve detection accuracy and reliability, while the wireless module enables real-time monitoring without requiring complex wiring. Using The Tang Nano 9K FPGA board ensures fast signal processing, flexibility and reliable system performance. Overall, the system provides a compact, cost-effective and efficient solution suitable for modern surveillance applications such as security monitoring, industrial security and smart environments. In the future, the system can be improved by integrating artificial intelligence and machine learning techniques to improve detection accuracy and reduce false alarms. The inclusion of multi-sensor fusion, such as combining infrared sensors with cameras or radar, can further increase reliability. Additionally, extending communication using long-range technologies such as LoRa or Sub-GHz networks can enable large-scale deployment. Improvements in antenna design, power optimization and IoT/cloud integration can also provide better coverage, remote accessibility and smarter data analysis, making the system more advanced and adaptable to next-generation intelligent surveillance systems.

References

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Copyright

Copyright © 2026 Shreya Shetty , Siddharth K, Stuthi Srinath , Sushmitha S, Dr. Electa Alice Jayarani A. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.