Design, Fabrication, and Characterization of Tunable Cat's Eye Retroreflector Arrays as Optical Identification Tags

Chang, C. M.; Su, Ming-Chun; Yang, Yucheng; Tsai, Jui-che

doi:10.1109/jlt.2013.2291407

Cited by 11 publications

(1 citation statement)

References 20 publications

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“…Recent studies have investigated the chatoyancy effect for mini-camera devices. Long et al [5] analyzed the diffraction phenomenon of the retro-reflection, whereas Change et al [6] and Gong et al [7] described the arrayed spots in reflected image profiles. Liu et al [8] performed systematic analysis of mini-camera reflection, proposed an optical model, and implemented a reflection simulation.…”

Section: Introductionmentioning

confidence: 99%

Design of an Active Laser Mini-Camera Detection System Using CNN

et al. 2019

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The growing popularity of the mini-camera is posing a serious threat to privacy and personal security. Disguised as common tools in rooms, these devices can become undetectable. Moreover, conventional active laser detection systems often fail to recognize them owing to their small lens size, weak reflectivity, and the influence of interference targets. In this paper, a method for building a laser active detection system for minicameras is proposed. Using a monostatic optical system and a deep learning classification algorithm, this anti-camera system can detect mini-cameras accurately in real time. This article describes the system components including its optical design, core components and image processing algorithm. The capability of the system for detecting mini-cameras and identifying interference is also experimentally demonstrated. This work successfully overcomes the limit of mini-camera detection using deep learning methods in active laser detection systems.

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Section: Introductionmentioning

confidence: 99%

Design of an Active Laser Mini-Camera Detection System Using CNN

et al. 2019

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Omnidirectional retroreflective surface using geodesic polyhedra

Bernety

Schurig

2020

AIP Advances

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In this paper, we present the design and analysis of omnidirectional retroreflective surfaces made of trihedral, corner reflectors to enhance the monostatic radar cross section of otherwise low back-scattering surfaces. The proposed designs can be mounted on helmets and used for various applications such as improving the collision avoidance of automotive radar systems in the presence of bicyclists and motorcyclists or improving collision prediction radars in contact sports or other risky environments, where helmets are used. To address these applications, we analyze the coherent response of the proposed designs.

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