Real-time activity identification in a smart FBG-based fiber-optic perimeter intrusion detection system

Wu, Huijuan; Lu, Xianglin; Li, Shanshan; Wu, Yu; Rao, Yunjiang

doi:10.1117/12.975249

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They reported the progress of their quasi-distributed FBG system by analyzing a number of different algorithms to improve the POD and reduce the NAR. These methods include; autocorrelation characteristics analysis, where the proposed system has a predicted POD of 99.5% and a NAR of 0.5% [87], principle component analysis, which results in a recognition rate of 96.52% for eight type of intrusion methods [88], and 3-layer back-propagation artificial neural network, which has a recognition rate of 96.03% [90]. In addition, they stated their system could predict fire threats without any additional components [89].…”

Section: B Fully Distributed Fiber Optic Pidsmentioning

confidence: 99%

Optical Fiber Sensors in Physical Intrusion Detection Systems: A Review

2016

View full text Add to dashboard Cite

Fiber optic sensors have become a mainstream sensing technology within a large array of applications due to their inherent benefits. They are now used significantly in structural health monitoring, and are an essential solution for monitoring harsh environments. Since their first development over thirty years ago, they have also found promise in security applications. This paper reviews all of the optical fiber based techniques used in physical intrusion detection systems. It details the different approaches used for sensing, interrogation and networking, by research groups, attempting to secure both commercial and residential premises from physical security breaches. The advantages and disadvantages of the systems are discussed and each of the different perimeter protection methods are outlined, namely, in-ground, perimeter fence, and window and door protection. The study reviews the progress in optical fiber based intrusion detection techniques from the past through to current state-of-the-art systems and identifies areas which may provide opportunities for improvement, as well as proposing future directions in this field.

show abstract

Section: B Fully Distributed Fiber Optic Pidsmentioning

confidence: 99%

Optical Fiber Sensors in Physical Intrusion Detection Systems: A Review

2016

View full text Add to dashboard Cite

show abstract

“…According to the different mechanism, there are three kinds of distributed optical fiber sensor [6], which are based on Fiber Bragg grating(FBG) principle [7] [8], reflection principle [9] [10] and interference principle [11] respectively. Quasidistributed sensing system comprises multiple FBG sensors, which can achieve multi-point and multi-parameter monitoring [12].…”

Section: Introductionmentioning

confidence: 99%

Distributed fiber-optic sensing using double-loop Sagnac interferometer

Zhu

2014

2014 9th IEEE Conference on Industrial Electronics and Applications

View full text Add to dashboard Cite

The significant advances of Fiber optic technology are making its comprehensive applications, including security monitoring, pipeline maintenance and communication cable protection, etc. Many of these applications operate in harsh environments over long distances. This leads to low SNR, making high-precision positioning a great challenge. In this paper, a distributed double-loop Sagnac interferometer system based fiber optic sensor is designed and validated in field for detecting and locating intruders. First, the double-loop structure is improved by adding a certain length of transmission fiber in the start and end of each loopwhich enhances the linear relationship between amplitude and distance. Second, in order to enhance the SNR, a spectral subtraction pre-processing method is provided. Through the above methods, precise location of a disturbance is guaranteed. Results of field tests show that the SNR is greatly improved and the system could achieve spatial resolution of ±15m per kilometer.

show abstract

“…Quasi-distributed FBG sensor networks have been used extensively to spatially locate various intrusion events and maintain perimeter security. Through wavelength-or time-division multiplexing, intrusion events can be detected with high spatial resolution 8 . Using various pattern-recognition algorithms such as principal component analysis and K-Nearest Neighbor classifier, movements (e.g.…”

mentioning

confidence: 99%

Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks

Peng

Wen

Jian

et al. 2020

Sci Rep

View full text Add to dashboard Cite

This paper reports on the use of machine learning to delineate data harnessed by fiber-optic distributed acoustic sensors (DAS) using fiber with enhanced Rayleigh backscattering to recognize vibration events induced by human locomotion. The DAS used in this work is based on homodyne phase-sensitive optical time-domain reflectometry (φ-OTDR). The signal-to-noise ratio (SNR) of the DAS was enhanced using femtosecond laser-induced artificial Rayleigh scattering centers in single-mode fiber cores. Both supervised and unsupervised machine-learning algorithms were explored to identify people and specific events that produce acoustic signals. Using convolutional deep neural networks, the supervised machine learning scheme achieved over 76.25% accuracy in recognizing human identities. Conversely, the unsupervised machine learning scheme achieved over 77.65% accuracy in recognizing events and human identities through acoustic signals. Through integrated efforts on both sensor device innovation and machine learning data analytics, this paper shows that the DAS technique can be an effective security technology to detect and to identify highly similar acoustic events with high spatial resolution and high accuracies.

show abstract

Real-time activity identification in a smart FBG-based fiber-optic perimeter intrusion detection system

Cited by 4 publications

References 0 publications

Optical Fiber Sensors in Physical Intrusion Detection Systems: A Review

Optical Fiber Sensors in Physical Intrusion Detection Systems: A Review

Distributed fiber-optic sensing using double-loop Sagnac interferometer

Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks

Contact Info

Product

Resources

About