Acoustic detection based on coherence bandwidth

Lee, Changeun; Kim, Donghyeon; Kim, Ki-Man

doi:10.1049/el.2015.1488

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Several studies have attempted the problem of intruder detection using acoustic approaches. In [13], the authors used linear frequency modulation (LFM) as an acoustic source signal with the employment of coherence bandwidth for the sake of acoustic-based intruder detection. In [9], they exploited a source of white noise and an array of microphones for the purpose of intruder detection.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing

Al-Khalli,

Alateeq,

Almansour

et al. 2023

Sensors

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Modern home automation systems include features that enhance security, such as cameras and radars. This paper proposes an innovative home security system that can detect burglars by analyzing acoustic signals and instantly notifying the authorized person(s). The system architecture incorporates the concept of the Internet of Things (IoT), resulting in a network and a user-friendly system. The proposed system uses an adaptive detection algorithm, namely the “short-time-average through long-time-average” algorithm. The proposed algorithm is implemented by an IoT device (Arduino Duo) to detect people’s acoustical activities for the purpose of home/office security. The performance of the proposed system is evaluated using 10 acoustic signals representing actual events and background noise. The acoustic signals were generated by the sounds of keys shaking, the falling of a small object, the shrinking of a plastic bag, speaking, footsteps, etc. The effects of different algorithms’ parameters on the performance of the proposed system have been thoroughly investigated.

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Section: Introductionmentioning

confidence: 99%

Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing

Al-Khalli,

Alateeq,

Almansour

et al. 2023

Sensors

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“…Intrusion detection using microphones is as effective as the use of security cameras in terms of detecting moving objects [4], and the related studies are summarized below. Studies on intrusion detection have been conducted to determine an intrusion in a security zone based on the change in the room transfer function [16], the sound field variation according to the acoustical transmission path of distributed microphones [17], and the coherence responses in low-frequency environments [18].…”

Section: Introductionmentioning

confidence: 99%

“…IR sensors have limitations that often cause errors because of their nonlinear sensitivity and the effects of nearby objects [21]. Therefore, if the acoustic-based intrusion detection in [16][17][18] is applied to the security system to compensate for the weakness in IR sensors, the two sensing systems can complement each other to increase the robustness of the intrusion detection. In the second example, when a microphone array detects the direction of an event, a pan-tilt-zoom (PTZ) camera is rotated and focused on the region of interest [8].…”

Section: Introductionmentioning

confidence: 99%

Acoustic-Based Position Estimation of an Object and a Person Using Active Localization and Sound Field Analysis

et al. 2020

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This paper proposes a new method to estimate the position of an object and a silent person with a home security system using a loudspeaker and an array of microphones. The conventional acoustic-based security systems have been developed to detect intruders and estimate the direction of intruders who generate noise. However, there is a need for a method to estimate the distance and angular position of a silent intruder for interoperation with the conventional security sensors, thus overcoming the disadvantage of acoustic-based home security systems, which operate only when sound is generated. Therefore, an active localization method is proposed to estimate the direction and distance of a silent person by actively detecting the sound field variation measured by the microphone array after playing the sound source in the control zone. To implement the idea of the proposed method, two main aspects were studied. Firstly, a signal processing method that estimates the position of a person by the reflected sound, and secondly, the environment in which the proposed method can be operated through a finite-difference time-domain (FDTD) simulation and the acoustic parameters of early decay time (EDT) and reverberation time (RT20). Consequently, we verified that with the proposed method it is possible to estimate the position of a polyvinyl chloride (PVC) pipe and a person by using their reflection in a classroom.

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Industrial Detection Efficiency Based on Automatic Industrial CT Detection System

2021

J. Phys.: Conf. Ser.

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With the rapid development of industrial technology, nondestructive testing technology has been widely used in industry. Automatic industrial CT testing is an effective method for nondestructive testing of internal defects of large workpieces. In the 1980s, China began to study industrial CT technology. However, due to the limited conditions and demand, the automatic industrial CT has not been put into use. In this regard, the purpose of this paper is to explore the efficiency of industrial detection under the automatic industrial CT detection system. In the actual X-ray CT inspection, for the small workpiece with complex internal structure, the best detection method is to detect along the section of the internal structure of the workpiece, so that the collected data can make CT imaging clearer. At the same time, with the acceleration of nondestructive testing automation process, the traditional rotary table X-ray CT detection system has been unable to meet the needs of actual production testing. According to the existing problems, a new automatic CT detection system is proposed in this paper. The system is a CT system based on 6-DOF Industrial robot. It has 6 spatial degrees of freedom, which can flexibly realize the clamping and spatial positioning of parts. It is an effective solution to replace the rotary table for radiographic inspection. And only according to the reasonable design of the clamping device according to the testing parts, it can be directly applied to industrial production, which speeds up the development process of nondestructive testing automation technology. Finally, this paper compares the CT detection system with the traditional industrial detection system, and studies the industrial detection efficiency of the two systems. The experimental results show that the efficiency of CT detection system proposed in this paper is 33% higher than that of traditional industrial detection system. At the same time, the proposed CT detection system provides a feasible solution for the automation of industrial X-ray CT detection.

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Acoustic detection based on coherence bandwidth

Cited by 3 publications

References 6 publications

Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing

Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing

Acoustic-Based Position Estimation of an Object and a Person Using Active Localization and Sound Field Analysis

Industrial Detection Efficiency Based on Automatic Industrial CT Detection System

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