Optimized Fresnel lens design for enhanced Passive infrared sensors in advanced security monitoring systems

Passive Infrared (PIR) motion sensors are integral to modern residential and commercial security systems, valued for their reliability, cost-effectiveness, and ability to detect motion through infrared radiation. These systems typically employ Fresnel lenses to focus infrared signals onto pyroelectric detectors, thereby enhancing detection range and differentiating between dynamic objects and background noise. However, conventional coaxial Fresnel lens designs are hindered by uneven light intensity distribution, resulting in reduced sensitivity and non-uniform detection across the field of view. This paper presents a breakthrough non-coaxial Fresnel lens architecture that addresses these limitations through advanced optical design and optimization techniques. By redistributing infrared radiation uniformly across the sensor’s surface, the proposed design significantly enhances detection uniformity and sensitivity. The methodology leverages advanced ray tracing and optical simulation tools (Zemax Optics Studio) in both sequential and non-sequential modes to optimize key performance parameters such as light uniformity, focusing efficiency, and aberration minimization. The results reveal that the optimized Fresnel lens achieves superior performance in small-angle, high-gain, and short focal length applications, offering unprecedented consistency in motion detection. This innovative approach establishes a new benchmark for Fresnel lens design, enabling the development of next-generation PIR sensors for advanced security systems, with broader implications for imaging, automation, and renewable energy applications.

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Publication Details

Journal
Results in Optics
Published
2025-04-02
DOI
https://doi.org/10.1016/j.rio.2025.100821
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
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article

Optimized Fresnel lens design for enhanced Passive infrared sensors in advanced security monitoring systems

Bui Dinh Bao, Vo Quang Sang, Peng Quan
Results in Optics
Infrared Target Detection Methodologies
article

Optimized Fresnel lens design for enhanced Passive infrared sensors in advanced security monitoring systems

Bui Dinh Bao, Vo Quang Sang, Peng Quan
article en

Abstract

Passive Infrared (PIR) motion sensors are integral to modern residential and commercial security systems, valued for their reliability, cost-effectiveness, and ability to detect motion through infrared radiation. These systems typically employ Fresnel lenses to focus infrared signals onto pyroelectric detectors, thereby enhancing detection range and differentiating between dynamic objects and background noise. However, conventional coaxial Fresnel lens designs are hindered by uneven light intensity distribution, resulting in reduced sensitivity and non-uniform detection across the field of view. This paper presents a breakthrough non-coaxial Fresnel lens architecture that addresses these limitations through advanced optical design and optimization techniques. By redistributing infrared radiation uniformly across the sensor’s surface, the proposed design significantly enhances detection uniformity and sensitivity. The methodology leverages advanced ray tracing and optical simulation tools (Zemax Optics Studio) in both sequential and non-sequential modes to optimize key performance parameters such as light uniformity, focusing efficiency, and aberration minimization. The results reveal that the optimized Fresnel lens achieves superior performance in small-angle, high-gain, and short focal length applications, offering unprecedented consistency in motion detection. This innovative approach establishes a new benchmark for Fresnel lens design, enabling the development of next-generation PIR sensors for advanced security systems, with broader implications for imaging, automation, and renewable energy applications.

Results in OpticsVol. 19
Le Quy Don Technical University (VN)
Affordable and clean energy
Openalex Percentile: Top 92%
Infrared Target Detection Methodologies
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Optimized Fresnel lens design for enhanced Passive infrared sensors in advanced security monitoring systems — Bui Dinh Bao, Vo Quang Sang, et al. · Results in Optics (2025) | TGRS Research Map | TGRS