Book ChapterDOI
Home Surveillance System Using Internet of Things
Niraj Ukunde,V. V. Shete +1 more
- pp 79-85
TLDR
The implementation of motion detection algorithm for live camera streaming is presented and thus allows analyzing incoming image stream, and recognizing any movement occurs in the area and if so then triggers video recorder to save the information-contained video clip.Abstract:
In recent years, lots of research have been done in computer vision domain. Video surveillance in real-time scenario, especially for humans, like tracking and behavior analysis is one of the most active research topics in computer vision and artificial intelligence in present situation. The main focus is providing the low-cost and efficient video surveillance system for home application and can have wide scope in other areas such as elevator monitoring and server room monitoring. As the traditional surveillance system requires huge storage capacity and consumes lot of network bandwidth, hence it becomes necessary to provide solution for such design issues. This paper presents the implementation of motion detection algorithm for live camera streaming and thus allows analyzing incoming image stream, and recognizing any movement occurs in the area and if so then triggers video recorder to save the information-contained video clip.read more
Citations
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Journal Article
Foreground Object Motion Detection by Background Subtraction and Signalling Using GSM
TL;DR: In this paper, a self-adapting, automatic updating background model is trained to adapt the slow and slight changes of the environment, which can also be applied for external environmental video surveillance.
Journal ArticleDOI
Deploying background subtraction approach for tracking and detecting moving objects
TL;DR: The BGS method was employed with fewer complications so that the approach can be utilised in a pragmatic manner where the real-time video surveillance systems (VSS) is highly needed.
References
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Proceedings ArticleDOI
An Internet of things approach for motion detection using Raspberry Pi
TL;DR: This paper aims to describe a security alarm system using low processing power chips using Internet of things which helps to monitor and get alarms when motion is detected and sends photos and videos to a cloud server.
Proceedings ArticleDOI
Design and Implementation of a Real Time Video Surveillance System with Wireless Sensor Networks
TL;DR: A real time video surveillance system consisting of many low cost sensors and a few wireless video cameras that is adaptable to variant environments and provides real time information of the monitored environment is proposed.
Proceedings ArticleDOI
Low cost real-time system monitoring using Raspberry Pi
TL;DR: The design and implementation of a low-cost system monitoring based on Raspberry Pi, a single board computer which follows Motion Detection algorithm written in Python as a default programming environment, to significantly decrease storage usage and save investment costs are described.
Proceedings ArticleDOI
Design and Evaluation of Remote Video Surveillance System on Private Cloud
Biao Song,Yuan Tian,Bingyin Zhou +2 more
TL;DR: A novel remote display solution that allows remote surveillance users to watch real-time surveillance video, to use surveillance software and to share screen updates among users on remote desktop is proposed.
Proceedings ArticleDOI
Design and implementation of embedded network video monitoring terminal
TL;DR: Test results show that the embedded network video monitoring terminal designed and implemented by this company can better utilize TCP/IP network bandwidth and can play without latency and fitter, as a result of real-time transmission and reception of digital video signal.