Cloud controlled intrusion detection and burglary prevention stratagems in home automation systems

Maiti, Anindya; Sivanesan, S.

doi:10.1109/bcfic.2012.6218000

Cited by 19 publications

(10 citation statements)

References 8 publications

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“…The authors propose to control interconnected appliances in a home through the cloud. The integration of a cloud with an ad-hoc wireless network-based home automation system that can perform intrusion detection and burglary prevention is discussed in [4]. Each node in the system runs intrusion detection algorithms and performs real-time reporting of events to a location-aware cloud service.…”

Section: IImentioning

confidence: 99%

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A cloud-based approach for smart facilities management

Lau

Liu

Majumdar

et al. 2013

2013 IEEE Conference on Prognostics and Health Management (PHM)

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One of the problems with the current practices in the various domains of facility management is that each facility is managed by its stake holder in isolation from the management of other similar facilities. However, with the advent of new technologies such as cloud computing, we have an opportunity to unify the management of multiple geographically dispersed facilities. To that end, this paper presents our joint research efforts on cloud-based smart facility management. More precisely, we present a cloud-based platform in order to manage sensor-based bridge infrastructures and smart machinery. Although the paper focuses on these two applications, the proposed cloud-based platform is designed to support/manage a multitude of smart facilities.

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Section: IImentioning

confidence: 99%

“…A short discussion of a representative set of existing work on cloud-based infrastructure management is presented. Using clouds in home monitoring are discussed in [2][3][4]. The system described in [2] performs remote surveillance and automatic sensor-control and monitoring.…”

Section: IImentioning

confidence: 99%

A cloud-based approach for smart facilities management

Lau

Liu

Majumdar

et al. 2013

2013 IEEE Conference on Prognostics and Health Management (PHM)

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“…Developing of a surveillance system which with low cost without losing the semantics of using low power, and less memory and more efficiency using a set of various sensors. Their system helped in monitoring the household activities in real time from anywhere based on microcontroller which are considered nowadays as a limited resources and an open source solution compared to SBC is presented in [5]. Khandavalli Michael Angelo and Katakala Karthik, introduced the use of embedded system video capturing and motion detection system.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of an Embedded Smart Intruder Surveillance System

Sabri

Salim

Fouad

et al. 2018

MATEC Web of Conferences

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Abstract. Remote and scattered valuable and sensitive locations such as labs and offices inside university campus need efficient monitoring and warning system. As well as scattered area and belonging. This research presents a Real-Time intruder Surveillance System based on a single board computer (SBC). Thus the design and development of a cost effective surveillance management system based SBC that can be deployed efficiently in remote and scattered locations such as universities belonging. The fusion of embedded Python codes with SBC that attached to cameras, Long distance sensors, alerting circuitry and wireless module presents a novel integration based effective cost solution and enhances SBC of much flexibility of improvement and development for pervasive remote locations. The system proves the high integrity of smooth working with web application, it's cost effective and thus can be deployed as many of units to seize and concisely covered remote and scattered area as well as university belonging and departments. The system can be administrated by a remote user sparsely or geographically away from any networked workstation. The proposed solution offers efficient stand alone, flexibility to upgrade and cheap development and installation as well as cost effective ubiquitous surveillance solution. In conclusion, the system acceptable boundaries of successful intruder recognition and warning alert are computed between 1m and 3m distance of intruder from system camera. Recognition rate of 95% and 83% are achieved and the successful warning alert were in the range of 86-97%.

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“…Thermal infrared cameras are sometimes used in surveillance context [1,2,3,4]. Very often in these cases, thermal cameras are preferred to visible images because they can be used in daily and nightly situations and moreover they preserve the anonymity of the people which is a crucial issue for surveillance.…”

Section: Introductionmentioning

confidence: 99%

Robust low resolution thermal stereo camera calibration

Zoetgnande¹,

Fougères

Cormier³

et al. 2019

Eleventh International Conference on Machine Vision (ICMV 2018)

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In this paper, we address the particularly challenging problem of calibrating a stereo pair of low resolution (80 × 60) thermal cameras. We propose a new calibration method for such setup, based on sub-pixel image analysis of an adequate calibration pattern and bootstrap methods. The experiments show that the method achieves robust calibration with a quarter-pixel re-projection error for an optimal set of 35 input stereo pairs of the calibration pattern, which namely outperforms the standard OpenCV stereo calibration procedure.

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Cloud controlled intrusion detection and burglary prevention stratagems in home automation systems

Cited by 19 publications

References 8 publications

A cloud-based approach for smart facilities management

A cloud-based approach for smart facilities management

Design and Implementation of an Embedded Smart Intruder Surveillance System

Robust low resolution thermal stereo camera calibration

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