scholarly journals Design of Security System Based on Raspberry-PI

2019 ◽  
Vol 19 (2) ◽  
pp. 56-61
Author(s):  
Mohanad Abdulhamid ◽  
Singoee Sheshai
Keyword(s):  
Motion Detection ◽  
Raspberry Pi ◽  
Video Streams ◽  
Environment Friendly ◽  
Live Video ◽  
Video Cameras ◽  
Detection And Tracking ◽  
Tracking Process ◽  
Set Up ◽  
Wireless Module

AbstractAs a critical constituent of many associations’ protection and security precedence, video surveillance has set up its importance and benefits numerous instances with the aid of imparting immediate supervising of possessions, people, surroundings and property. This paper deals with the diagram strategy of an embedded real-time surveillance gadget based totally on Raspberry-Pi single board computer (SBC) for intruder detection which is reinforcing technology of surveillance to supply fundamental security to our life and associated control and alert operations. The suggested safety solution is hinging on our novel integration of cameras and action detectors into application of web. Raspberry-Pi is operating and controlling action detectors and video cameras for far flung sensing and surveillance, streams live video and files it for future playback. Also, this paper is focusing on growing a surveillance machine that detects strangers and to response speedily through taking pictures and relaying photos to proprietor based totally wireless module. This Raspberry-Pi based clever surveillance machine presents the concept of monitoring a region in a far-flung area. The suggested solution offers a fee advantageous ubiquitous surveillance solution, environment friendly and convenient to implement. Furthermore, the paper presents the idea of motion detection and tracking using image processing. This type of technology is of great importance when it comes to surveillance and security. Live video streams therefore be used to show how objects can be detected then tracked. The detection and tracking process are based on pixel threshold.

Abnormal Motion Detection for Intelligent Video Surveillance

2011 ◽  
Vol 58-60 ◽  
pp. 2290-2295 ◽  
Author(s):  
Ruo Hong Huan ◽  
Xiao Mei Tang ◽  
Zhe Hu Wang ◽  
Qing Zhang Chen
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
Video Surveillance ◽  
Motion Detection ◽  
Background Subtraction ◽  
Moving Objects ◽  
Video Streams ◽  
Intelligent Video Surveillance ◽  
Tracking Process ◽  
Object Parameters

A method of abnormal motion detection for intelligent video surveillance is presented, which includes object intrusion detection, object overlong stay detection and object overpopulation detection. Background subtraction algorithm is used to detect moving objects in video streams. Kalman filter is applied for object tracking. By the construction of relation matrix, the tracking process is divided into five statuses for prediction and estimation, which are object disappearing, object separating, new object appearing, object sheltering and object matching. The object parameters and predictive information in the next frame which is used to track moving objects is established by Kalman filter. Then, three types of abnormal motion detection are implemented. The relative position of alarm area or guard line with the rectangle boxes of the moving objects is used to detect whether the object is invading. The existing time of the moving objects in monitor area is counted to detect whether the object is staying too long. Moving objects in the monitor area are classified and counted to detect whether the objects are too much. Alarm will be triggered when abnormal motion detection as defined is detected in the monitor area.

scholarly journals A Bio-Inspired Model for Precise Control of Nozzle End of a Fire Hose Through Remote Controlled Operation

2019 ◽  
Vol 8 (4) ◽  
pp. 11524-11528
Keyword(s):  
Decision Making ◽  
Power Source ◽  
Fire Fighting ◽  
Raspberry Pi ◽  
Live Video ◽  
Precise Control ◽  
Autonomous Decision ◽  
Video Feed ◽  
Set Up ◽  
Fire Hose

Today, there are a few autonomous fire-fighting robots but the absolute autonomous decision making in places that involve discrete thinking is still unresolved. With remotely operated fire-fighting robots, this problem can be solved to an extent. The project involves use of a remote power source to reduce the weight of the robot and a bio-inspired design of the fire hose manipulator mimicking the elephant’s trunk using which the hose tip could be moved precisely up to 5° on every direction. The hose can be manipulated to direct the water towards the fire, using the live video feed from a camera and raspberry pi set up that are on board. The movement of the robot and the fire hose manipulator can be remotely operated using GUI interface. The response of the robot for various intensities of flame, the angular freedom of the manipulator and the projectile of water-flow were studied and calibrated for better performance.

scholarly journals Survey on Smart Security Surveillance System

2021 ◽  
Vol 9 (12) ◽  
pp. 219-222
Author(s):  
Prof. S. B. Kothari
Keyword(s):  
Surveillance System ◽  
Web Application ◽  
Detection System ◽  
Video Stream ◽  
Raspberry Pi ◽  
Detection And Tracking ◽  
Tracking Process ◽  
Consistent Performance ◽  
Security Surveillance ◽  
Motion Detectors

Abstract: As an integral part of the safety and security many organizations, video rental has established its value and benefits many times by providing immediate management of property, people, the environment and property. This project operates in the form of the Embedded Real-Time Surveillance System Based Raspberry Pi SBC for internal detection that enhances monitoring technology to provide critical safety in our lives as well as consistent performance and alert operation. The proposed security solution depends on our integration of cameras and motion detectors into a web application. Raspberry Pi operates and controls motion detectors and video cameras for remote hearing and monitoring, streams streaming video and recording for future playback. This research focuses on the development of a detection system that detects strangers and responds quickly by taking and transferring images to wireless modules based on owners. This Raspberry Pi program based on Smart Surveillance System provides a remote location monitoring concept. The proposed solution provides a fully functional, efficient and easy-to-use global solution. This project will also introduce the concept of motion detection and tracking using image processing. This type of technology is very important when it comes to surveillance and security. The live video stream will be used to show how things can be found and tracked. The detection and tracking process will be based on the pixel threshold. Keyword: Internet Of Things (IOT), Raspberry pi, Picamera, PIR Sensor, Dropbox.

Interactive style transfer to live video streams

2020 ◽  
Author(s):  
Ondřj Texler ◽  
David Futschik ◽  
Michal Kučera ◽  
Ondřej Jamriška ◽  
Šárka Sochorová ◽  
...  
Keyword(s):  
Video Streams ◽  
Style Transfer ◽  
Live Video

Fast motion detection in coded video streams for a large-scale remote video sensor system

2014 ◽  
Author(s):  
Yong-Sung Kim ◽  
Gyu-Hee Park ◽  
Seung-Hwan Kim ◽  
Hyung-Joon Cho
Keyword(s):  
Motion Detection ◽  
Large Scale ◽  
Sensor System ◽  
Video Streams ◽  
Fast Motion ◽  
Video Sensor

scholarly journals Wireless UGV for Target Tracking and Obstacle Detection using Live Surveillance

2019 ◽  
Vol 8 (6S2) ◽  
pp. 384-386
Keyword(s):  
Target Tracking ◽  
Distance Measurement ◽  
Obstacle Detection ◽  
Ultrasonic Sensor ◽  
Prototype Model ◽  
Live Video ◽  
Ip Camera ◽  
Complete Set ◽  
Set Up

our aim is to develop a project that will benefit society. But nowadays it is employed to assist human in surveillance, rescue and recovery missions. This paper presents the prototype model of an UGV which is operated wirelessly through manual navigation commands based on the live video captured from the IP camera mounted on the board. The distance measurement is done by the Ultrasonic sensor from the obstacle and displayed in the LCD. The target tracking as well as attacking is done based on the obstacle and environment situation monitored in the live video. This complete set up and working of the UGV is described further in this paper

A Survey of Human Activity Interpretation in Image and Video Sequence

2013 ◽  
pp. 87-124
Author(s):  
Xin Xu ◽  
Li Chen ◽  
Xiaolong Zhang ◽  
Dongfang Chen ◽  
Xiaoming Liu ◽  
...  
Keyword(s):  
Human Activity ◽  
Motion Detection ◽  
Video Sequence ◽  
Human Motion ◽  
City Centre ◽  
Consumer Behavior Analysis ◽  
Video Cameras ◽  
Human Motion Detection ◽  
Human Activity Detection ◽  
Video Sequence Analysis

In the past, a large amount of intensive research has been dedicated to the interpretation of human activity in image and video sequence. This popularity is largely due to the emergence of the wide applications of video cameras in surveillance. In image and video sequence analysis, human activity detection and recognition is critically important. By detecting and understanding the human activity, we can fulfill many surveillance related applications including city centre monitoring, consumer behavior analysis, etc. Generally speaking, human activity interpretation in image and video sequence depends on the following stages: human motion detection and human motion interpretation. In this chapter, the authors provide a comprehensive review of the recent advance of all these stages. Various methods for each issue are discussed to examine the state of the art. Finally, some research challenges, possible applications, and future directions are discussed.

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