Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

Hong, Sang Gi; Kim, Nae Soo; Kim, Whan-Woo

doi:10.4218/etrij.13.0112.0219

Cited by 26 publications

(7 citation statements)

References 13 publications

(8 reference statements)

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“…Also, these urinals tend to give false signals due to shadows when you pass near them. Other reasons for false signals are due to insects, sudden exposure to sunlight/headlight, change in temperature, and inflow from ventilation . Also, the IR reflector and receivers consume energy from battery throughout the day and night.…”

Section: Results and Discussionmentioning

confidence: 99%

Novel Interfacial Bulk Heterojunction Technique for Enhanced Response in ZnO Nanogenerator

Rajagopalan

Raj

Singh

et al. 2019

ACS Appl. Mater. Interfaces

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In this paper, a direct sustainable approach for the development of a n-ZnO:p-CuO heterojunction (ZCH) through a simple grinding is reported to be an effective technique to enhance the piezoelectric performance of ZCH/polydimethylsiloxane (PDMS) nanocomposite-based nanogenerators (ZP-PNGs). We have first optimized the best concentration for ZnO/PDMS nanocomposite for the realization of the piezoelectric nanogenerator. Later, with the same configuration, we implemented a novel, simple, facile, frugal, and inexpensive technique to fabricate ZCH. The heterojunction results in the improved charge transfer characteristics, low capacitance, and charge nullification contributing to the enhanced piezoelectric output. This reflects in the improvement of the peak-to-peak piezoelectric potential of the device from 2.7 to 9 V. The instantaneous max power density was found to be 0.2 mW/m2. The device can work as a force sensor with improved sensitivity of 1.7 V/N compared to 1.05 V/N of the intrinsic device. The device is being systematically studied for load matching and capacitor charging to demonstrate its practicability. Furthermore, we tested our device to harness the biomechanical energy from day-to-day life activities. Finally, the device was used to fabricate sustainable piezoelectric-based smart urinal systems for low-income group countries.

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Section: Results and Discussionmentioning

confidence: 99%

Novel Interfacial Bulk Heterojunction Technique for Enhanced Response in ZnO Nanogenerator

Rajagopalan

Raj

Singh

et al. 2019

ACS Appl. Mater. Interfaces

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“…Hong et. al. in [4] use digital PIR sensors and energy thresholding for detecting human motion. The amount of signal processing that can be done using digital PIR sensors is limited in comparison to analog sensors that allow more sophisticated signal-processing algorithms to be employed for rejecting clutter.…”

Section: A Prior Workmentioning

confidence: 99%

“…In [3], clutter signals arising from environmental changes and wind-blown vegetation are rejected by a Support Vector Machine (SVM) based classifier that uses a Haar transform-based feature vector. However, the articles [1]- [4] described above, do not consider the problem of distinguishing between human and animal intrusions.…”

Section: A Prior Workmentioning

confidence: 99%

An animation-and-chirplet based approach to intruder classification using PIR sensing

Upadrashta

Choubisa

Aswath

et al. 2015

2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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The development of a Passive Infra-Red (PIR) sens ing based intrusion detection system is presented here having the ability to reject vegetative clutter and distinguish between human and animal intrusions. This has potential application to reducing human-animal conflicts in the vicinity of a wildlife park. The system takes on the form of a sensor-tower platform (STP) and was developed in-house. It employs a sensor array that endows the platform with a spatial-resolution capability.Given the difficulty of collecting data involving animal motion, a simulation tool was created with the aid of Blender and OpenGL software that is capable of quickly generating streams of human and animal-intrusion data. The generated data was then examined to identify a suitable collection of features that are useful in classification. The features selected corresponded to parameters that model the received signal as the super imposition of a fixed number of chirplets, an energy signature and a cross-correlation parameter. The resultant feature vector was then passed on to a Support Vector Machine (SVM) for classification. This approach to classification was validated by making use of real-world data collected by the STP which showed both STP design as well as classification technique employed to be quite effective. The average classification accuracy with both real and simulated data was in excess of 94%.

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“…The optimal performance of a DPS can be achieved through the proper selection of the prediction model, which can vary with respect to the sensing data attributes and the target error bounds. In this Letter, we introduce several prediction models that can be used for DPS, and present further improvements by taking into account the spatial correlation of the sensing data as well [1].…”

Section: Introductionmentioning

confidence: 99%

Adaptive dual prediction scheme based on sensing context similarity for wireless sensor networks

Heo

Kim

et al. 2014

Electron. lett.

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A novel adaptive dual‐prediction scheme is introduced for minimising the data communication load for wireless sensor networks as a way to maximise the lifetime of resource‐limited sensor nodes. Specifically, the proposed scheme exposes the fact that when sensing context prediction is used at both the sink node and the sensor nodes, the amount of data that need to be transmitted can be minimised. Furthermore, the transmission data quantity is reduced even more by exploiting the spatial correlation among different sensor nodes. On using this adaptive dual prediction scheme, the evaluations show that the amount of data transmissions can be compressed by as much as 20% against a basic dual prediction scheme, suggesting that the lifetime of sensor nodes can increase significantly in practical systems.

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Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

Cited by 26 publications

References 13 publications

Novel Interfacial Bulk Heterojunction Technique for Enhanced Response in ZnO Nanogenerator

Novel Interfacial Bulk Heterojunction Technique for Enhanced Response in ZnO Nanogenerator

An animation-and-chirplet based approach to intruder classification using PIR sensing

Adaptive dual prediction scheme based on sensing context similarity for wireless sensor networks

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