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2014
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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
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.
IAEME PUBLICATION, 2019
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.
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.
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.
This paper presents home office and industrial security system using sensor based surveillance camera which consumes less amount of electricity & memory. It also increases product lifetime and ensure better performance.
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.
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%.
Security is the major concern in our day-today life for our convenience and safety purpose. Everyone wants to be much as secure as possible because of the drastic increase crime rate due to increasing unemployment or starvation in corona epidemic. In this review paper, we had tried to increase the standards by combining new design techniques and developed lowcost home and industrial automated security systems. Lot of research been carried out deploying sensors like PIR, sensor, camera, GSM modules towards detecting the intruder at home. But the major drawback in all these systems is that they are all too much costly to be deployed integrated with LCD panel or camera. As a part of our review paper, we have developed an integrated 3 level HSS. The first level being authentication access for the residents, where in we have used a fingerprint scanner. The next level in our HSS is to detect any unwanted intruder entering the house. The 3rd level is to detect fire in the house.
Journal of Environmental Science and Technology
2018
This paper attempts to develop a home security and automation system using Raspberry Pi (RPi) module which is a low-cost single-board computer that would transform an electric device to a smart node that can communicate with other smart devices. The system composes of camera, PIR motion sensor, vibration sensor, gas sensor, electric door locker, bulb, and alarm. Therefore, it has a function of 1) detecting thief breaks through the windows by using vibration sensors 2) watching unwanted person inside the house by using camera, motion sensor 3) detecting gas leakage by using gas sensor 4) turning on/off the door locker and the bulb. In addition, the house owner and a policeman will get an alert message if the house is in unsecured situation.
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