Theft Detection System using PIR Sensor

EAI Endorsed Transactions on Smart Cities

Internet of Things provides connectivity and user interoperability among different systems, devices, networks and services in particular control systems. IoT can be envisioned as a network of connected devices which are capable of providing intelligent services. This paper presents a security surveillance system in buildings based on IoT using Raspberry Pi. It can be used at industries, homes and office etc, where the camera records the movement of objects and using IoT devices and the data is stored on to the server. The idea is to lock the door even from outside the house and it can be opened using the android phone itself. If some intruder tries to break or to get in anonymously, the system will detect the person and photo will be clicked by the security camera and send the message along with photo on to the owner's mail, thus creating the evidence for our safety. Some additional features for automation like rain sensing windows using rain sensor and servo motor and automatic light on/off for saving electricity and reduce human effort with IR senor and a simple led have also been implemented in this paper. Hardware implementation has been done for the proposed model and it will be applicable for monitoring home, industry, office etc. in the absence of user.

Communications, 2019

With the advancement of technology things are becoming Simpler and easier in every aspect of life. Automation is the use of control systems and information technologies to reduce the need for human work. Security is an essential part of our life at this crucial moment, the problems of security in our home, industry, banks, schools, hotels and even offices cannot be tackle manually. The main aim of this research work is to design and implement an intelligent and reliable security system using Passive Infrared (PIR) and Global System for mobile communication (GSM) Module embedded on Arduino Uno board. C programme is uploaded on the board using Arduino IDE. The system have surveillance over the movement of people around the house premises 7m to approach the door the security system send an SMS to a GSM phone (HTC) numbers included in the C programming codes.

2018

The increasing criminal case nowadays makes people worried about losing their properties. In addition, they do not hesitate to act anarchist and often hurt the victim. These criminals frequently come to the victim's house to perform the act of theft. However, theft is often successfully thwarted only by a shout or alarm sound that makes the thief to be panic and afraid then run while cancelling his intention to proceed with his action. Therefore the authors wanted to create an automatic detection system by relying on Arduino UNO, PIR sensor as motion detector and equipped with a camera that will capture images right after the sensor sounds and the sound is expected to thwart the robbery action. The advantages of this application is the camera will rotate automatically where the sensors that detect the presence of the thief detected. And the resulting sound is also derived from the micro SD memory card with MP3 format so that the users can use the sound of shouting, guard dog, o...

This paper deals with the design and implementation of Smart Intrusion Alert System for home and office security using open source hardware platform. The model use Raspberry pi 3 (model B), Passive infra-red (PIR) sensor and Raspberry pi camera integrated with smartphone. It use home Wi-Fi to integrate with web server for notifying via Telegram application. Raspberry pi operates and controls motion detector and camera for remote sensing, capture any motion image and send the alert to the user via Telegram application. For instance, when motion is detected by PIR sensor, the Raspberry Pi camera automatically capture image and the Raspberry pi device alerts the owner regarding the possible intrusion. The result seems satisfy, the PIR sensor detect any motion well and with a several seconds it sends an alert to Telegram application. Selected indoor and outdoor locations are tested and it seems that it works well for both. This research is significant and benefits for recent technology of home or office security.

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.

IJEECS, 2013

In this paper, a PIR based security system which saves the power consumption and the memory space of the recording system has been proposed. Passive Infrared Radiation (PIR) sensor detects the change in infrared radiation of warm blooded moving object in its detection range. According to the change in infrared radiation, there will be a change in the voltages generated which was amplified and used to turn ON the webcam and lighting system through relay. Software was developed and installed in the computer to capture and record the video when the webcam gets turned ON. When an intruder comes in the detection range of the PIR sensor, it actuates the lighting system and the webcam. The software detects the webcam connection; it will start to record and save the video. Once the intruder moves out of detection range of the sensor, the webcam and light gets turn OFF. The software repeats the process. Thus the saves power consumption and the memory space of the recording system as the lamp and webcam will only get turned ON when PIR sensors detects an object. Consequently the system starts recording only when the webcam is turned ON; hence saving memory space.

IRJET, 2020

The video surveillance system of any secured places using security guards at every moment is not possible. Also, closed-circuit Television (CCTV) is extensively used CCTV in most of the security places like multi-storage buildings, banks, cinema halls, commercial buildings like shopping malls, and more. But real-time thief handling is very important to prevent theft and vandalism. This project employs an IoT based real-time video surveillance system with a password locking technique using raspberry pi. The system requires a USB webcam, Raspberry-pi 3B, 4*4 Keypad, and PIR sensor. When any motion is detected pi activate the webcam for capturing the image if anyone enters a wrong password or tries to enter a random password, at that time processor sends an E-mail or SMS alert to register id or mobile number. When motion detected using PIR(passive infrared sensor) raspberry pi store the image in the cloud using the SMTP mail server and send them to register Email.

A smart home application highlights extraordinary help to our everyday life. This framework revives offices of a house to advance into a brilliant home by including greater security highlights. The change in security perspective offers inventive and beneficial degree to the methods for living. Every one of these qualities is adjusted by utilizing Internet of Things (IoT) and Raspberry Pi. The acknowledgment issue is constantly flawed in smart home applications. Along these lines, recuperation is done to recognize the gate crasher as known or obscure by the utilization of picture preparing methods for confront acknowledgment. This has a tendency to fathom numerous issues regarding verification. This insurance instrument advises the client likewise, giving a reasonable photo of the situation occurring at the client's home. The sensor based framework features numerous highlights enabling it to be broadly utilized. Fire sensor identifies any temperature increment in the front room and posts its status in the URL given to the client. The gas sensor helps in distinguishing the nearness of any gas spillage in view of the power of the gas in air. With the assistance of DC engine, auto entryway locking component is impelled. This is extremely helpful. All the statuses are handled between the sensors and the client through IoT. Raspberry Pi interfaces every one of the segments and delivers the correct working of the entire bundle. The systems that are utilized here are exceptionally straightforward. Henceforth, even beginner clients could comprehend the framework's propelled highlights and utilize it easily. The utilization of observation camera additionally helps in recognizing the nearness of fire and along these lines a signal is initiated on account of flame recognition.

The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an on-going theft (unauthorized access to their premises). For this purpose, a rigorous analysis of existing systems was undertaken to identify research gaps. The problems found with existing systems were that they can only identify the intruder after the theft, or cannot distinguish between human and non-human objects. Wireless Sensors Networks (WSNs) combined with the use of Internet of Things (IoT), Cognitive Internet of Things, Internet of Medical Things, and Cloud Computing are expanding smart home concepts and solutions, and their applications. The primary objective of the present research work was to design and develop IoT and cloud computing based smart home solutions. In addition, we also propose a novel smart home anti-theft system that can detect an intruder, even if they have partially/fully hidden their face using clo...

Revue d'Intelligence Artificielle

It is needless to say the importance of automation and security systems in the present era. In this paper we propose simple solutions for automation of electrical appliances and home security. We propose to control automatic turn on and turn off of electrical appliances like electric bulb, Air conditioner, electric fan etc.; with respect to the human motion detection rather than using manual switch on/off system. Another solution is controlling the Air conditioner temperature depending on the room temperature. We propose another function to provide security. In all these applications, the Arduino Uno processing unit is used, along with 3 different sensors. To detect the human presence PIR (Passive Infrared) Sensor is used, temperature sensor (LM35) is used to detect the room temperature and Ultrasonic (HC-SR04) sensor is used to detect the presence of objects. If there is any human movement it is detected by the PIR Sensor and the lights will turn on. If the room temperature is above the given temperature set, it is detected by the temperature sensor and the Air conditioner will turn on directly. If there is any object that is detected by the ultrasonic sensor it is detected by the sensor and a buzzer is set that starts emitting sound.

Jurnal Serambi Engineering

The uninhabited housing situation is very vulnerable to the existence of theft activities. Anticipation using a variety of door locking system of the house also often can be overcome by various the perpetrators of theft. Information technology today is inseparable from the development of internet communication technology. The Internet today are an essential part of every society as a means of Informastion Source. Therefore, there needs to be integration of home security system which can be integrated with internet based information system as one of innovation in security system. The research objective is the design and manufacture of sensor-based home security system as a passive infrared motion detectors integrated with Internet-based information system with the concept of the Internet of things (IoTs). The research used Passive Infra Red Sensor as input data, Arduino Uno Microcontroller as Sensor Data Processor and Ethernet as Web Server. The research resulted in a series of home ...

International Journal of Recent Technology and Engineering (IJRTE), 2020

With the fast-growing world, frequent attacks and burglaries are increased. Therefore, the need for an effective and reliable surveillance security system has become an indispensable necessity to fulfill various security aspects and add quality to human life. The existing security systems use CCTV cameras and computers. It also consumes a lot of memory because of continuous recording and needed manpower to detect unauthorized activities and instant notification is also not possible in these surveillance security systems. So we researched the surveillance part and mainly on the burglary part where during the absence of the owner the camera will detect motion and will send instant notification to the user when motion is detected. Compared to existing surveillance systems, the use of Raspberry pi is effective because of its size, low power, and memory consumption, wireless features, and many more effective aspects. In this paper, we proposed an IoT based surveillance security system th...

Applied System Innovation

The proposed research methodology aims to design a generally implementable framework for providing a house owner/member with the immediate notification of an ongoing theft (unauthorized access to their premises). For this purpose, a rigorous analysis of existing systems was undertaken to identify research gaps. The problems found with existing systems were that they can only identify the intruder after the theft, or cannot distinguish between human and non-human objects. Wireless Sensors Networks (WSNs) combined with the use of Internet of Things (IoT) and Cognitive Internet of Things are expanding smart home concepts and solutions, and their applications. The present research proposes a novel smart home anti-theft system that can detect an intruder, even if they have partially/fully hidden their face using clothing, leather, fiber, or plastic materials. The proposed system can also detect an intruder in the dark using a CCTV camera without night vision capability. The fundamental i...

Security and safety have always become a basic necessity for the urban population. To Monitor and to detect we use CCTV cameras. In surveillance, CCTV camera is costly because of the use of a computer. It reserves too much space for continues recording and also requires manpower to detect the unauthorized Activity. To overcome, we came across with Raspberry PI using IOT. Compare to Existing System Raspberry Pi is much cheaper with better resolution and low power consumption features. This Project " IOT based theft detection project using Raspberry Pi " where we use image processing on live video to detect theft using motion and also highlight the area where motion occurred. In this system, we use a camera along with raspberry pi along with a circuit with LCD display IR for night vision and USB drive for storage. As soon as camera motion is detected in camera, the system uses image processing to detect an exact area of motion occurrence and highlights it accordingly. The system now transmits the images of the occurrence over IOT to be viewed by the user online. Also, it stores the footage in a USB drive for further reference. The user can now decode the data sent online using IOT, IOT system to view the images of the motion occurrence live remotely over the internet. Thus, the system provides an innovative approach to Theft Detection using IOT. Keyword: IOT (Internet of Thing), IR Sensor, Raspberry PI, USB, UVC Driver

2020

In today’s world, security and safety have always become a basic necessity for the urban population. With the rapid urbanization, development and progress of big cities and towns, the graph of crimes is increasing in sharp rate. So, seeing this scenario, we propose Theft Prevention System using IoT which helps to secure and guard our house in our absence. This system monitors the entire floor movement detection. As soon as the movement is detected on the floor, the owner will be notified through an app. Whenever the thief enters in the house, and steps on the floor, immediately it is sensed by the sensor which passes on the signal to raspberry pi controller which in turn processes it to be valid signal and then moves the camera to the area where movement was detected and then transmits it over the Internet for the home owner to check the image.