PIR Sensor Research Articles

Robotic Search and Rescue using Human Detection System

In this Technological advancement period, advanced construction improvements lead the formation of skyscrapers and homes which expanded the dangers of losing life because of natural and manmade catastrophes. In this system, we are proposing a radio-controlled bot that can identify live human beings from which are in the inaccessible region. Python libraries are used in Raspberry Pi microcontroller having Camera module to catch pictures of objects around it. This paper discusses about the mentioned system. The project takes live image samples and sends it to a network where this images can be accessed through a device. This images can be used for human detection. PIR sensor is used for the detection of human being trapped under debris. Whenever a human is detected the bot will send GPS co-ordinates to the device.

Development of Automatic Reminder System for Geriatric Medicine Intake

The consumption of medicine is typical in geriatrics, having many problems related to medications. Geriatrics often forget to take their medicine, and this problem can be overcome by using an automatic reminder system. In this study, an automated reminder system is developed as an improved community element, acting as a system that can help geriatric in taking their medicine on time, thus, boosting their health condition. This reminder system also includes an interaction between the geriatrics and their caretakers. This reminder system includes Arduino UNO as the microcontroller, with the notification system, Blynk Application, a buzzer, and a light-emitting diode (LED) system. To make this reminder system more versatile, the buzzer will alarm during the medicine intake time, giving information to the elderly on which medicine to take. When the time has reached to take medication, the buzzer will produce a sound. Suppose the medicine box opens after the buzzer's sound and is detected by the passive infrared sensor (PIR sensor). In that case, the caretaker will receive a notification through the Blynk application that the geriatric already took medicine. On the contrary, if the medicine box is not open after 3 minutes following the buzzer's sound, which indicates that the geriatric did not take their medicine, the system will not send a notification to their caretakers on the status. This prototype is tested on ten users for its accuracy and effectiveness. It is believed that this system can provide geriatrics more alert in taking their medicine on time, enhancing their health status.

Peringatan Otomatis Pada Internet of Things Sistem Deteksi Smart Motion

The main problem in this research is the increase in cases of theft and robbery. This incident was caused by the busyness of everyone in their daily lives, so they forgot about the safety of their house. An Internet of Things (IoT) based home security system that utilizes a PIR sensor as a human motion detector and then sends a notification in the form of a notification via SMS or e-mail is one solution to overcome the problems that have been previously proposed in previous research. However, to further clarify the warning sent from the system, a home security system is needed that can attach an image to the notification. In this study, an IoT-based home security system was developed. The IoT security system being developed can automatically send a warning message by attaching an image when the PIR sensor detects human presence. The IoT system requires a Raspberry Pi as a microcontroller that is connected to the internet, a PIR sensor to detect human movement and a Pi Camera to win an image when there is an encounter with a human within the range of the PIR sensor. Experiments in this study show that the IoT system can automatically send warning messages via the Telegram application by attaching an image when the PIR sensor detects human presence in various light conditions with a distance of 0-5 meters and the speed of sending email alerts is influenced by the condition of the internet network connection and file size. images sent.

Smart Farming Using IoT

In advancement with the rapid emergence of IoT-based technologies Smart farming industry created revolutionary changes with existing farming methods. However, the quality of farming methods and framing products were decreased. So our “Smart farming using IoT” system hardware integrated with a software application that provides suggestions to farmers when the hardware system analyses the soil. After analyzing the characteristics and quality of the soil with the hardware system consisting of various sensors like DHT11 sensor and Soil moisture sensor, it provides the analyzed data to the application via the Internet. Then this application compares the data in the database and provides user suggestions and also remotely monitor and control equipment like drip irrigation system and electric fencing, etc. The database system analyses the data provided by the hardware as input and gives the user suggestions like, which crop is best suited for this soil, its organic farming methods and irrigation methods, etc. After that, it can also predict any animal intrusion by using a PIR sensor. This application mainly uses data analytics and database management techniques to derive suitable crops and their cultivation methods from the data sets that were collected from the research centers and organic farmers. And also helps to monitor and control farmland using IoT.

Developing application of automatic lamp control and monitoring system using internet of things

This research aims to build a prototype of an automated light control and monitoring system based on internet of things. This system controller uses Wemos D1 microcontroller with integrated ESP8266 Wi-Fi module, which functions to send and receive input data on the Internet of Things (IoT) platform, namely Firebase. Input devices in this system are in the form of two types of sensors namely the LDR sensor and the PIR sensor where the LDR sensor functions as a measure of light intensity and the PIR sensor functions as a detector of human motion in a room. This system uses 2 lamps as an output device, where the lamp is placed in a clear plastic box formed as a room. In room 1, the lamp will turn on if a human presence is detected. In room 2, the lamp will turn on if the room’s lighting conditions are dim or dark and a human presence is detected. In addition, the control and monitoring system of this lamp can also be controlled via the android application without a certain distance and only requires an internet connection.

Sistem Pendeteksi Gerak Menggunakan Sensor PIR dan Raspberry Pi

Digital security and monitoring systems are entering a new era. Every industry is busy developing security systems according to their individual needs. What can be done is by providing a security perimeter around the assets to prevent unwanted things. There are currently many CCTV (Closed Circuit Television) based security systems; CCTV security systems also have less effective because they require more devices and large enough storage memory. Also, there are other solutions, namely systems that are built using PIR sensors and Raspberry Pi. The PIR sensor is used to detect infrared emissions from humans, so the target object is a human. The PIR sensor also receives heat radiation from humans, so when humans move, this sensor will receive changes in radiation emitted by humans. The purpose of this study is to simulate a solution to the problem of infrastructure design for the development of a physical asset security system using a Wireless Sensor Network and to find out how the security system works using a PIR sensor and Raspberry Pi Model B. The research method used is the Network Development Life Cycle (NDLC) approach. This study illustrates that the Raspberry Pi with hardware capabilities and Rasbian OS and the Python programming language support building a security system. The HC-SR501 PIR sensor can also detect moving objects from the right, left, and front. Email and SMS can be well integrated to produce reports according to the sensor's movement.

Implementation of IIoT based smart crop protection and irrigation system

A centralizing method in the area of IIoT (Industrial Internet of Things) contrived for understanding agriculture which is preceding the arrangements low-power devices [5]. This paper yields a monitoring procedure for farm safety against animal attacks and climate change conditions. IIoT advances are frequently used in smart farming to emphasize the standard of agriculture[6]. It contains types of sensors, controllers. On behalf of WSN, the ARM Cortex-A board which consumes 3W is the foremost essence of the procedure [9]. Different sensors like DHT 11 Humidity & Temperature Sensor, PIR Sensor, LDR sensor, HC-SR04 Ultrasonic Sensor, and camera are mounted on the ARM Cortex-A board. The PIR goes high on noticing the movement within the scope, the camera starts to record, and the data will be reserved on-board and in the IoT cloud, instantaneously information will be generated automatically towards the recorded quantity using a SIM900A unit to notify about the interference with the information of the weather conditions attained by DHt11[14]. If a variance happens, the announcement of the threshold rate will be sent to the cell number or to the website. The result will be generated on a catalog of the mobile of the person to take the necessary action [7].

IoT Based Well-organized Hostel Power Consumption and Attendance Administration System

Most of the educational institutions in India are with the conservative follows for monitoring their resources precisely hostel facilities. In this project, two major issues namely energy conservation and monitoring of hostel attendance are considered. Now a days the power consumption by the educational institutions is more than 2 billion units as per the survey held in 2015. Energy demand is one of the increasing burdens for government and it is increasing exponentially in the recent scenario. Energy conservation can be the greatest key for rising energy demand. In this regard, power saving is a vital matter and it is more serious in hostels as some irresponsible students who leave the room without switching OFF the lights and fans. Another issue with today’s hostel maintenance is student’s attendance and their in/out time. Conventional system follows camera facilities. But many miserable incidents have happened to the students especially girls when they had a long travel to their hometown. Hence by means of well-organized hostel administration system with RFID reader, fingerprint sensor, PIR sensor is designed to work under two modes namely Manual Mode and Automatic Mode and provides solution for these two issues.

IoT: Theft detection of the mosque charity box through Arduino R3 with HC-SR501 sensor and MC-38 sensor

The purpose of this research is to detect and store data on theft of mosque charity boxes using the Internet of Things (IoT) by activating short message notifications on smartphones and database servers through a web framework. The focus of this research is the use of Arduino R3 as a microcontroller that regulates the detection of theft of a mosque’s charity box with a passive infrared sensor HC-SR501, a magnetic switch sensor MC-38, and sending short message notifications and storing detection results to a database server. Arduino R3 is used as a microcontroller with a program that can be recycled using the Arduino IDE, while the HC-SR501 passive infrared sensor is used to detect human movement with changes in body heat, through infrared rays emitted by a Fresnel lens, then identified by the pyroelectric sensor made from gallium nitride (GaN), cesium nitrate (CsNO3) and lithium tantalate (LiTaO3), a change in heat temperature then activates the buzzer when a hot object is detected. Whereas the MC-38 magnetic switch sensor functions to turn on the buzzer when the mosque charity box is forcibly opened by a thief with a normally closed and normally open angle. The results obtained from this study are testing the MC-38 magnetic sensor has two working modes, namely normally close when the two beam blades fuse within a distance of < 3 cm, above a distance of > 3 cm, normally open, meaning that the conditions are not safe. While the test results of the HC-SR501 PIR sensor have the ability to detect body movements with a minimum reading distance of 30 cm and a maximum of 10 m, with LOW results if not detected and High if detected by human objects.

Design and Build a Safe Security System Using RFID With e-KTP as a Tag and Monitoring With IoT-Based Esp32-Cam With Telegram Notifications

Security is one form of convenience to protect archives or important objects such as land certificates, BPKB, and many others, and as a place to store these items a safe is created, with the development of technology, the safe is combined with several electronic components, a modern safe is created without a conventional key, only uses radio frequency identification which is already supported with an E-KTP and password to open it, uses a PIR sensor and an esp32 camera to find out who will access the safe and can be monitored every time. time via a smartphone using the telegram application, and also the telegram application can control the alarm if something suspicious is seen from the esp32 camera.

WSN Smart Irrigation System and Weather Report System

This paper proposes a cost-effective system that can be used by farmers easily. In these modern times also, we find farmers going to their fields to check the water level and to see that no cattle are present near the field. Even if there are cattle he can’t do anything at that moment. So, we proposed a system where he can be notified if there is any animal or if the water content is low on his registered mobile number. In this system, an irrigation-based Wireless Sensor Network (WSN) using Raspberry Pi and the solar panel is implemented, Raspberry Pi being used as Coordinator node and Arduino as an end node, nRF24L01 as a transceiver. The sensor input values such as soil moisture level, PIR; the temperature is collected by the Arduino and is wirelessly sent to the Raspberry Pi. The water pump can be turned on based on sensor values using the Raspberry Pi web server and those values are also posted on the webpage. For temperature and humidity detection, we used the DHT11 sensor and the solar panel is used as an additional source of power. A PIR sensor is used to check if there are any animals present near the field.

PIR Sensor based Blaze Barricade using Raspberry Pi

Right from small fire accidents to the recent explosion cause by fire in Beirut, and many forest fires not only damages lots and lots of vegetation and kills animals but also gives high risk to human lives and properties. Everyone is well aware that fire Extinguishing is extended dangerous and it damages environment in all nations around the world. Fire accidents causes lot of loss, causing hundreds of death and widespread damage to the property. A risk survey in India 2019 reports that a total of 1,13,961 people lost their lives due to fire accidents from 2010 to 2014, which is an average of 62 deaths a day. In this paper we develop a priority enabled robot which could control the fire extinguishers process as soon as possible. The design consists of various sensors like ultrasonic sensor which is used to detect object, PIR sensor which is used to detect human motion and Raspberry pi camera module is used to detect the fire. Raspberry pi is used to control the movement of the robot to reduce the fire extinguish.

IoT enabled advanced forest fire detecting and monitoring on Ubidots platform

The amount of land that we have lost during the 2019 forest fires is nearly 11.9 million hectares. The area of forest that is prone to forest fires is increasing day by day. The number of wild animals died during the forest fires is uncountable but in the recent Australian forest fires we have found that nearly a billion animals have died this includes 25,000 koalas. So, the main issue we have is can we prevent forest fires YES prevention is better than cure, but we humans are so deep in the usage of fossil fuels we need an estimated 30 years to go carbon negative. So, the immediate work we must do is to stop the spreading of forest fires the main part of stopping forest fires is the detection of forest fires. We are using ESP32 board and rain sensors, sound sensor, DHT11 sensor, PIR sensor are being used.

Face Recognition Attendance System

Attendance system is very important in schools and colleges because Manual attendance system has many problems for example it may be less accurate and difficult to maintain. So, attendance system using face recognition technique increases the accuracy and also it requires less time than other methods. There are many existing systems for attendance such as face recognition using IoT, PIR sensors and so on. For face recognition, hardware devices are also helpful, but the challenge is to maintain all the sensors properly without getting them damaged. After studying all methods and techniques, we are trying to implement a system with Haar Cascade Algorithm which has the highest accuracy among all. It is able to capture the images from 50-70cm. We are creating graphical user interface which capture the images, create the dataset and train the dataset on single click. After recognizing a face it will display name of student and roll number. That information will be stored in attendance sheet automatically with time and date.

An open source and low-cost Smart Auditorium

Universities have auditoriums, or amphitheaters, sometimes very large to accommodate many students. They hold numerous lectures and conferences there. In this article we are using a smart home system to intelligently manage and control autonomously each auditorium of the campus. This solution use ESP32 NodeMCU to acquire with sensors several environmental data such as air temperature and humidity, CO2 level, light intensity, window closing, PIR sensors, and images with camera. Other ESP32 NodeMCU control ambient conditions by operating of air extractors and ventilation. While valves remotely controlled on radiators are directly connected on Raspberry Pi in Zwave. AI-Think are uses to film auditorium.

Auto Temperature Detection System at the Entrance

In view of current situation the COVID-19 has become ubiquitous in every corner of the world. Every individual need to be cautious to overcome the spread of the COVID-19. It has become necessary to predict the COVID symptoms in order to allow the people at the public places and the entrances. One of the early symptoms of COVID-19 is high body temperature. It would be difficult to check temperature of everyone, there might be a chance of being in contact with the person which is harmful. An automatic temperature scanning gate is presented to verify the body temperature of any intruder. The main objective of the system is to monitor the human body temperature when the presence of human is detected through the PIR sensor. In normal situation the gate is closed. If the module senses any high temperature (more than 37 degree Celsius), buzzer is activated indicating the detection of COVID symptom. Otherwise, the gate is opened, thus allowing the person into the room. The opening and closing operation of the gate is performed by a servo motor. And the LCD displays the persons temperature, being detected by Infrared sensor. In this project an attempt will be made to develope a prototype for Auto temperature detection system for COVID 19 safety.

Smart Street Light System Using Raspberry pi

Lighting consumes a huge amount of energy, by which improving the efficiency is a significant challenge. Smart street lights which use light-emitting diode (LED) lights for illumination and monitoring is being used for less power consumption and environmental efficiency. As smart street light system with detection of vehicle for the use of traffic is not been widely used, Smart street light system using raspberry pi is an intelligent system of street light which minimizes the problem of electricity power consumption which is caused late at night when the street lights are working. The street light work for nearly 12 hours i.e from evening 18:00 to next day morning 06:00AM which are not majorly used from 23:00PM to 05:00AM. As for the mentioned 6 hours, there are very less vehicles as well as people on the streets and a huge wastage of electricity. Smart street light system using raspberry pi as the proposed system focuses on minimizing the power consumption as well as to detect the velocity or speed of the vehicle. The system is designed using LED, PIR sensor, LDR sensor, SD card, camera module, with all this components which are connected and controlled using raspberry pi. This system will detect the vehicle and it turns the street light to full intensity when the vehicle passes and the street lights are automatically turned to low intensity if not required and it also detects speed and distance of the vehicle from street light.

Motion detection using Passive Infrared Sensor using IoT

An IoT is the recent trend today which is applicable to all the real time applications. It is applied in all the sectors like smart city, home, appliance, Security as most important one which reduces the human operation and do all the works are done in automation. This will useful in all the areas and easy implementation. In that sense, in this paper I suggested the concept of Infrared radiation for motion detection by using PIR sensor. That sensor is implemented with the microcontroller which identifies the intruders movement which represented by high and low. This represents the motion detection, if the value is high there is a motion of intrusion, otherwise if the value is low it shows does not intruded by anyone. This technique is very compatible because only it requires three components it is detected by mixed signal processor and line transceiver.

Detecting LPG Leakage and Automatic Turn off using Arduino Connected with PIR Sensor

In today’s world, every home is provided with separate LPG connection for cooking.Nowadays, due to the advancement in technology human beings are getting upgraded day by day. In today’s world, every home is provided with separate LPG connection for cooking. It increases the efficiency and decreases the time consumed. Even though it is much better, there are certain critical conditions are to be considered whenleakage occurs. While operating with LPG, risks are considered and a reliable technique is to be adapted in the kitchen.Many techniques are available to provide constant monitoring and control of gas leakage in residencies. This paper describes one such method of utilizing LPG in home safely andautomatic turning off of the valves at the time of leakage. In this paper, I have used Arduino UNO to carry out the desired task. Arduino is connected to gas sensor (MQ-2) and temperature sensor (LM-35). Gas sensor is used to detect leakage of gas and temperature sensor is used to detecttemperature constantly. In addition to that, I have used a PIR sensor for detecting the presence of human in the kitchen. If no human is detected over a period of time, an alarm is on and automatically the valve of the LPG cylinder goes off.

Motion Detection Security Alarm Using Arduino

In this project, we are going to make a motion detection security alarm using Arduino uno. It can detect the motion of an intruder with help of a PIR Sensor. It is based on infrared motion sensing that is every body emits heat energy in the form of infrared rays which are invisible to human naked eye but can be detected using elecronic motion sensor. The main objective is that it focuses on detection of motion without any external touch. The applications are as a automatic door bell circuit,in defense applications and other electronic devices.The passive infrared sensor detects the IR radiations emitted from humans within its range and it sends the signal to arduino uno then the led glows amd then it triggers buzzer, hence motion is detected.