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.
Authors
- Bui Dinh Bao
- Vo Quang Sang (ORCID: https://orcid.org/0000-0002-9540-6470)
- Peng Quan (ORCID: https://orcid.org/0000-0002-6468-526X)
Institutions
- Le Quy Don Technical University (VN)
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
- 0.00