Sensor Based Efficient Security System

IAEME Publications, 2018

In this project design and implement a home embedded surveillance system with ultra-low alert power. Traditional surveillance systems suf er from an unnecessary waste of power and the shortcomings of memory conditions in the absence of invasion. In this design we pressure sensors as the alert group in windows and doors where an intruder must pass through. These low-power alert sensors wake up the MCU (Micro Controller Unit) which has power management for the ultrasonic sensors and PIR sensors indoors. This state transition method saves a large number of sensors required for the alert power. We also use the Majority Voting Mechanism (MVM) to manage the sensor groups to enhance the probability of multiple sensors sensing. After the MCU sends the sensor signals to the embedded system, the program starts the Web camera. Our sensing experiment shows that we reduce the system’s power consumption.

IDOSR JOURNAL OF SCIENCE AND TECHNOLOGY

Home security is essential for occupant’s conveniences and protection. This research project designed and implemented a comparatively inexpensive smart surveillance security system that automatically captures an intruder’s image through a raspberry pi camera module and PIR sensor and sends mail to the user via Wi-Fi using the users registered email address. This system operates by triggering the Pi Camera through Raspberry Pi whenever an intruder comes in range using PIR sensor. The Pi camera will capture the image, save it and send the image of the intruder via mail to the user through the help of the command codes embedded in the Raspberry pi microcontroller. This research project will enable home/supermarket and office owners to secure their facilities and monitor the activities of their employers at any location at cheaper cost which is the earnest desire of an Engineer. Proteus 2022 was used as the simulation tool. Keywords: Security, Spy camera, Raspberry pi, IOT, smart securi...

2019

Abstract: Forgetting to put off the electrical device while not in use, keeping the device ON while not necessary, thus leading to wastage of power has become common in our day to day life. Not much attention is paid towards such silly mistakes, but these little wastages can form a formidable amount of overall energy wastage if we consider the same mistake happening in every work place, house, educational institute, public place etc. In today’s world, wherever everybody needs to keep their valuables safe and secure, video surveillance for observing a particular area has become the need of the hour. We are proposing a system which consists of PIR sensor for energy saving and MEMS Accelerometer sensor identify intrusion attack and alerts to the owner using GSM Modem. We can observe the person using live camera on webpage.

2014

Abstract—This paper develops a user-controlled low power home surveillance system with the help of low power sensor groups. The system helps to avoid unnecessary wastage of power and shortcomings of memory conditions. It consists of two sensor groups; alert sensor group which is placed outdoor near doors and windows and detection sensor group which is placed indoor. The alert sensor group senses when an intruder passes through and wakes up the MCU in sleep mode. This activated MCU provides power supply for detection sensor group. When the detection sensor group detects the presence of intruder, the signals will be given to the MCU. It will turn on the web camera to capture images and upload them by means of web server through Internet. Only user can control the entire surveillance system by establishing a call through GSM. In addition to it, this system helps to monitor the household activities in real time from anywhere. Keywords—Home Embedded surveillance, Low-power

Communications on Applied Electronics, 2020

In this paper, a smart surveillance system for home security is developed. The system consists of a motion detection system, an authentication system, an alert system and a web application control panel. It uses raspberry pi as the main controller which was programmed using python, a PIR sensor and a camera for motion detection and taking of images, an RFID reader/card for authentication, a USB modem for phone calls which also connect the device to the internet to allow it send images of an intruder to the owners email, a buzzer as an alarm and a web application control panel that could be accessed over the raspberry pi's Wi-Fi to manage the system. This system was tested using various scenarios such as user authentication, intruder or wrong authentication and it worked as expected.

TELKOMNIKA Telecommunication Computing Electronics and Control, 2019

In this paper, the design and realization of motion detector system for house security based GSM network is presents. The development of microcontroller carried out intruder detection that supports tracking techniques to provide vital security with control and alert operation inside and outside the home. The pivot of security on the integration the motion detector and cameras into web applications has become more interested. The smart surveillance Pi camera obtain the input from the motion detector and controller which is send the video to the web server allowing the homeowner to access this video by use web applications. An intrusion alert send to the owner by mean of message via mobile and buzzers alarms located at suitable distance. This system is typify proficient video camera for remote sensing and tracking with live video for succeeding play again to offers efficient and easy implementation with omnipresent surveillance solution.

International Journal for Research in Applied Science and Engineering Technology (IJRASET) , 2021

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.

International Journal of Computer Applications, 2020

This paper is the survey of Smart camera based surveillance monitoring system using Raspberry pi. Camera based surveillance is important in all sectors, they can be colleges and hospitals, shopping malls and other challenging indoor and outdoor environments require high end cameras. This paper focus on low-cost project on single board computer Raspberry Pi. This is new technology and far less expensive and, it is being used as a main platform for video detection and acquisition. It can be used with involvement of mobile network (internet) to provide essential security and surveillance to our properties and for other control applications. The security system records information and transmits it via network to a Smart Phone using web application Raspberry pi.

IASET, 2021

The project has been initialized to ensure an anti-theft home concept at minimum cost. when compared to other available systems, it is low cost and user-friendly. in this concept we are providing complete security to your home by using the existing things. So that we can afford the best security at a low cost. We can access the project from any point of the world. And in this project, we provide lot of additional features such as radar tracking, double door system to provide more security to the people at the same cost.

MATEC Web of Conferences

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%.