Light intensity at the return place and encirclement power ratio for the distorted reflected beambased oncat-eye effect

Zhao, Yanzhong; Sun, Houjun; Zhang, Laixian; Zheng, Yunping

doi:10.1007/s11801-011-1055-2

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…The limitations of the proposed system is the range of detection distances and angles of incidence, because the reflection intensity of a mini-camera is greatly reduced with the degradation of these two conditions. The dependence of a traditional cat-eye target reflection on incident angle has been studied in [19], [20], while the mini-camera's distant or oblique-incidence reflection has been analyzed in [5], [8]. However, the actual upper limits of the distance and incident angle vary greatly depending on the working conditions and target characteristics of each system.…”

Section: Resultsmentioning

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: Resultsmentioning

confidence: 99%