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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Home Automation: Instant Theft Detection Reporting To Owner Using IoT
  Dr Nara.Sreekanth,  Karishma,  Jyothsna

For over 10 years, Surveillance cameras have been the prime alternative to guarantee security at spots of interest. The principle downside of this framework is that it just stores video film and neglects to caution the concerned personnel in real-time about the ongoing crime. In this proposed system, Theft Detector, theft can be distinguished and informed to the client progressively. This project is related to image processing and IOT applications. The system uses pi camera and PIR sensors connected to Raspberry pi to detect the intrusion in real time. On recognizing an interruption, the concerned individual (unfortunate casualty) is told about the robbery by means of sending an email and SMS. The victim also receives an image of the intruder and has access to either accept or decline the request email or SMS. Security has become a major concern these days especially with the burgeoning rate of thefts and crimes. Studies show that homes without security systems are more likely to be targeted by burglars than those with professionally monitored systems. Security systems are often the first line of defence against break-ins. In the normal CCTV cameras the continuous video is recorded. But, In this application camera only detects only the new member. But this time is reduced to detect the theft and immediate action can be taken.

Keywords- IoT, Raspberrian Pi, CCTV
Publication Details
Unique Identification Number - IJEDR1902022
Page Number(s) - 98-105
Pubished in - Volume 7 | Issue 2 | May 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Dr Nara.Sreekanth,  Karishma,  Jyothsna,   "Home Automation: Instant Theft Detection Reporting To Owner Using IoT", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 2, pp.98-105, May 2019, Available at :http://www.ijedr.org/papers/IJEDR1902022.pdf
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