Low-Cost Scalable Home Video Surveillance System

2014 ◽  
Vol 19 (2-3) ◽  
pp. 51-58
Author(s):  
Jaromir Przybylo ◽  
Joanna Grabska-Chrzastowska ◽  
Przemyslaw Korohoda
Keyword(s):  
Video Surveillance ◽  
Video Processing ◽  
Surveillance System ◽  
Low Cost ◽  
Video Recording ◽  
Video Surveillance System ◽  
Threat Detection ◽  
Computing Power ◽  
Home Video ◽  
Depth Analysis

Abstract Automated and intelligent video processing and analysis systems are becoming increasingly popular in video surveillance. Such systems must meet a number of requirements, such as threat detection and real-time video recording. Furthermore, they cannot be expensive and must not consume too much energy because they have to operate continuously. The work presented here focuses on building a home video surveillance system matching the household budget and possibly making use of hardware available in the house. Also, it must provide basic functionality (such as video recording and detecting threats) all the time, and allow for a more in-depth analysis when more computing power be available.

Based Embedded System Applications in Intelligent Home Remote Monitoring

2014 ◽  
Vol 602-605 ◽  
pp. 2317-2320
Author(s):  
Yang Li ◽  
Qing Hong Wu ◽  
Xue Xiao
Keyword(s):  
Embedded System ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Video Capture ◽  
Home Video ◽  
Intelligent Home ◽  
Front End ◽  
Usb Camera

With the continuous improvement of security awareness, home security has become the focus of attention. The actual demand for home video surveillance system, designed a cheap, practical, small size and low power consumption of video surveillance systems, this paper uses microprocessor S3C2440 ARM9 core as the core hardware control, embedded Linux operating system with software the control core, and cheap, generic USB camera video capture device as a front end to complete the design of a home video surveillance system.

Corrigendum to: Video-surveillance system for remote long-term in situ observations: recording diel cavity use and behaviour of wild European lobsters (Homarus gammarus)

2015 ◽  
Vol 66 (4) ◽  
pp. 385
Author(s):  
Ronny Steen ◽  
Sondre Ski
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Video Recording ◽  
Published Data ◽  
Video Surveillance System ◽  
Marine Animals ◽  
European Lobster ◽  
Homarus Gammarus ◽  
In The Wild

Long-term studies of subtidal marine animals in the wild are a demanding enterprise. Traditionally, data collection has been limited to direct observations during SCUBA diving. In the past decade, video technology has improved rapidly and behavioural monitoring of marine organisms has successfully been conducted by using modern video-recording equipment. Here, we describe a video-monitoring system that employs video motion detection (VMD) and describe its use with the European lobster (Homarus gammarus). There is a shortage of detailed information on lobster behaviour in the wild, with virtually no published data on the fine-scale behaviour of the European lobster under natural conditions. This dearth of information reflects the difficulties in observing behaviour in nocturnal marine animals. Here, we explore whether a remote video-surveillance system is suitable for long-term monitoring of European lobsters inhabiting an artificial cavity in a natural habitat. From the video recordings, we were able to register diel cavity use and categorise behavioural elements such as resting, feeding, burrowing and substrate moving, self-cleaning, burrow occupancy and interactions among individuals. We propose that this novel system will contribute to more efficient data sampling of lobsters and facilitate non-invasive, long-term behavioural studies of other marine and freshwater animals.

scholarly journals Electric Gadgets Surveillance and Controlling Sys-tems Based on Internet of Things (IoT)

2020 ◽  
Vol 9 (4) ◽  
pp. 2222-2227
Keyword(s):  
Video Surveillance ◽  
Video Processing ◽  
Surveillance System ◽  
Digital Camera ◽  
Video Surveillance System ◽  
Intelligent Video Surveillance System ◽  
The World ◽  
Processing Abilities ◽  
Long Time ◽  
The One

Over the last few a long time, brilliant infrastructure growths were noticed in safety-related troubles during the world. So, with multiplied call for for Security, Video-based Surveillance has grown to be an essential location for the research. An Intelligent Video Surveillance system essentially censored the performance, happenings, or converting data normally in terms of humans, cars or every other item from a distance by way of some electronic equipment (normally virtual digital camera). The scopes like prevention, detection, and intervention that have brought about the improvement of real and constant video surveillance structures can shrewd video processing abilities. In wide phrases, superior video-based surveillance could be defined as a shrewd video processing approach designed to help protect personnel by imparting reliable real-time alerts and to support green video evaluation for forensic investigations. This chapter offers the diverse requirements for designing a robust and reliable video surveillance machine. Also, it is mentioned the one-ofa-kind kinds of cameras required in one of a kind environmental conditions together with indoor and out of doors surveillance. Different modeling schemes are required for designing green surveillance machines under numerous illumination conditions.

A Novel Secure Video Surveillance System Over Wireless Ad Hoc Networks

2010 ◽  
pp. 1896-1912
Author(s):  
Hao Yin ◽  
Chuang Lin ◽  
Zhijia Chen ◽  
Geyong Min
Keyword(s):  
Wireless Communication ◽  
Video Surveillance ◽  
Video Processing ◽  
Surveillance System ◽  
Ad Hoc ◽  
Video Surveillance System ◽  
Video Encryption ◽  
Wireless Multimedia ◽  
Significant Research ◽  
Hoc Networks

The integration of wireless communication and embedded video systems is a demanding and interesting topic which has attracted significant research efforts from the community of telecommunication. This chapter discusses the challenging issues in wireless video surveillance and presents the detailed design for a novel highly-secure video surveillance system over ad hoc wireless networks. To this end, we explore the state-of-the-art cross domains of wireless communication, video processing, embedded systems, and security. Moreover, a new media-dependent video encryption scheme, including a reliable data embedding technique and real-time video encryption algorithm, is proposed and implemented to enable the system to work properly and efficiently in an open and insecure wireless environment. Extensive experiments are conducted to demonstrate the advantages of the new systems, including high security guarantee and robustness. The chapter would serve as a good reference for solving the challenging issues in wireless multimedia and bring new insights on the interaction of different technologies within the cross application domain.

Image Captioning for Video Surveillance System using Neural Networks

2021 ◽  
pp. 2150044
Author(s):  
M. Nivedita ◽  
Priyanka Chandrashekar ◽  
Shibani Mahapatra ◽  
Y. Asnath Victy Phamila ◽  
Sathish Kumar Selvaperumal
Keyword(s):  
Neural Network ◽  
Video Surveillance ◽  
Surveillance System ◽  
Short Term Memory ◽  
Low Cost ◽  
Modern Technology ◽  
Discrete Wavelet ◽  
Video Surveillance System ◽  
Image Captioning ◽  
Video Feed

Security has always been of paramount importance to humans. In the absence of a sense of security at one’s workplace, home or anywhere else, people feel uneasy and vulnerable. With the improvement of modern technology, along with the lack of time at hand, the need for faster, efficient, accurate as well as low-cost security techniques is more than ever. Image Captioning for Video Surveillance System is proposed to develop visual systems that generate contextual descriptions about objects in images, and then use these descriptions to provide information of the scene that needs to be secured. The proposed system uses a neural network model composed of a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) to caption the incoming video feed. The main significance of this paper is in integrating the system with Discrete Wavelet Transform (DWT), which is applied on the incoming video feed, so that the compressed LL band frames transferred wirelessly to the model are smaller in comparison, leading to less transfer time and faster processing by the model.

A Novel Secure Video Surveillance System Over Wireless Ad Hoc Networks

2008 ◽  
pp. 515-530
Author(s):  
Hao Yin ◽  
Chuang Lin ◽  
Zhijia Chen ◽  
Geyong Min
Keyword(s):  
Wireless Communication ◽  
Video Surveillance ◽  
Video Processing ◽  
Surveillance System ◽  
Ad Hoc ◽  
Video Surveillance System ◽  
Video Encryption ◽  
Wireless Multimedia ◽  
Significant Research ◽  
Hoc Networks

The integration of wireless communication and embedded video systems is a demanding and interesting topic which has attracted significant research efforts from the community of telecommunication. This chapter discusses the challenging issues in wireless video surveillance and presents the detailed design for a novel highly-secure video surveillance system over ad hoc wireless networks. To this end, we explore the state-of-the-art cross domains of wireless communication, video processing, embedded systems, and security. Moreover, a new media-dependent video encryption scheme, including a reliable data embedding technique and real-time video encryption algorithm, is proposed and implemented to enable the system to work properly and efficiently in an open and insecure wireless environment. Extensive experiments are conducted to demonstrate the advantages of the new systems, including high security guarantee and robustness. The chapter would serve as a good reference for solving the challenging issues in wireless multimedia and bring new insights on the interaction of different technologies within the cross application domain.

Video-surveillance system for remote long-term in situ observations: recording diel cavity use and behaviour of wild European lobsters (Homarus gammarus)

2014 ◽  
Vol 65 (12) ◽  
pp. 1094 ◽  
Author(s):  
Ronny Steen ◽  
Sondre Ski
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Video Recording ◽  
Published Data ◽  
Video Surveillance System ◽  
Marine Animals ◽  
European Lobster ◽  
Homarus Gammarus ◽  
In The Wild

Long-term studies of subtidal marine animals in the wild are a demanding enterprise. Traditionally, data collection has been limited to direct observations during SCUBA diving. In the past decade, video technology has improved rapidly and behavioural monitoring of marine organisms has successfully been conducted by using modern video-recording equipment. Here, we describe a video-monitoring system that employs video motion detection (VMD) and describe its use with the European lobster (Homarus gammarus). There is a shortage of detailed information on lobster behaviour in the wild, with virtually no published data on the fine-scale behaviour of the European lobster under natural conditions. This dearth of information reflects the difficulties in observing behaviour in nocturnal marine animals. Here, we explore whether a remote video-surveillance system is suitable for long-term monitoring of European lobsters inhabiting an artificial cavity in a natural habitat. From the video recordings, we were able to register diel cavity use and categorise behavioural elements such as resting, feeding, burrowing and substrate moving, self-cleaning, burrow occupancy and interactions among individuals. We propose that this novel system will contribute to more efficient data sampling of lobsters and facilitate non-invasive, long-term behavioural studies of other marine and freshwater animals.

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