Buzzer Alarm Research Articles

Intelligent Monitoring System for the Elderly based on Posture Recognition

In recent years, due to the gradual increase in the elderly population, elderly care has become an increasingly urgent issue, and the most common risk faced by the elderly is accidental falls. In this paper, an intelligent monitoring system for the elderly is studied, which includes a communication module, a sensor module and a state detection module. It can monitor the status of the elderly in real time and feed back to the server to activate the buzzer alarm function. In the communication module, WI-FI communication between esp32 microcontroller and PC is established to realize real-time transmission of pressure sensor data. The C/S communication method between Raspberry PI and PC was established to realize the transmission of real-time video data. In the sensor module, the pressure sensor is used for data acquisition, and the RF algorithm is used to realize the binary classification prediction of whether the human body is in bed or out of bed. In the state detection module, the yolov8 algorithm combined with the GSRF algorithm is used to classify the image data into five action categories, namely, falling, waving, sitting, standing and walking, to predict the state of the human body in the real-time video stream with an accuracy of 90%. After the sensor module detects the state of the human body out of bed, the state detection module is started, and the results are transmitted back to the back-end server and uploaded to the Web page to realize the function of real-time monitoring of the state of the elderly.

Improving the Security System for the Vehicle by Using the Driving License and Fingerprint Automation

In contemporary times, the widespread use of vehicles necessitates robust protection against theft, which is achieved through the integration of RFID tags and fingerprint authentication. This paper introduces a vehicle ignition system that leverages RFID tags and fingerprint recognition to safeguard vehicles from unauthorized access. Authorized RFID tags initiate the authentication process, complemented by fingerprint verification for driver identification. Upon successful authentication, a relay is activated, enabling the ignition system, while a red LED displays the status. In the event of authentication failure, an alarm buzzer prevents unauthorized entry. This system significantly enhances vehicle security and ensures a smooth user experience, with potential for customization and scalability across various vehicle models. Key components include In contemporary times, the widespread use of vehicles necessitates robust protection against theft, which is achieved through the integration of RFID tags and fingerprint authentication. This paper introduces a vehicle ignition system that leverages RFID tags and fingerprint recognition to safeguard vehicles from unauthorized access. Authorized RFID tags initiate the authentication process, complemented by fingerprint verification for driver identification. Upon successful authentication, a relay is activated, enabling the ignition system, while a red LED displays the status. In the event of authentication failure, an alarm buzzer prevents unauthorized entry. This system significantly enhances vehicle security and ensures a smooth user experience, with potential for customization and scalability across various vehicle models. Key components include Arduino, Fingerprint Sensor, RFID Reader, RFID Tag, GSM module, Relay, Motor, LED, and LCD. Key Words: Arduino, Fingerprint Sensor, RFID Reader, RFID Tag, GSM module, Relay, Motor, LED, and LCD.

Design of Environmental Monitoring and Alarm System Based on Microcontroller

With the development of society, the improvement of science and technology, and the continuous optimization of production and life, people's living standards are also constantly improving. Therefore, people are starting to pay more and more attention to the comfort level of indoor environment. Housing is not only a place for family reunion and living, but also an important material guarantee for people's lives. However, with the rampant use of decoration materials and the increasing popularity of daily necessities, the hidden dangers of the living environment have greatly increased. Indoor environmental pollution has become one of the serious killers affecting modern human health, seriously affecting people's production and life. Therefore, it is particularly important to monitor the indoor environment, which not only needs to sensitively detect the concentration of various harmful gases, but also has an alarm function to constantly remind of dangers. The main functions of this design include: Connecting the microcontroller with temperature, humidity, and gas sensors to achieve real-time collection and reading of indoor temperature and humidity values, as well as monitoring gas concentration, and achieving the expected results. The display circuit was designed using LCD. The buzzer alarm function was used to automatically alarm when the gas concentration and temperature/humidity values exceeded the set standard values. When the temperature and humidity exceed the limit, the LCD display can immediately prompt and combine with LED alarm. When the gas concentration exceeds the limit, LED alarm is used.

Peringatan Dini Banjir Berbasis Internet Of Things (IOT) dan Telegram

Flooding is a natural event that can have serious impacts on ecosystems, the economy and human life. In efforts to mitigate and control flood risks, early warning plays an important role in providing quick information to the public and the authorities. In this context, the application of the Internet of Things (IoT) provides an innovative solution by utilizing the latest technology to create an efficient and accurate flood early warning system. This research is intended to create a prototype river water level monitoring system using NodeMCU and the Telegram application programming interface as a first step in anticipating flooding. The main objective is to provide assistance to supervisory officers in monitoring river water levels in real time. This research method includes the development and integration of sensors connected to an IoT network to accurately detect changes in water level. The system also implements efficient data analysis algorithms to determine whether conditions require early warning. Telegram was chosen as communication platform to convey warning messages to the public. The IoT device is connected to a buzzer which will provide a sound warning when the water level reaches a threshold. The research results obtained show that water level conditions in the range of 2cm-50cm are categorized as Alert 1 status, so the buzzer (Alarm) is On. In the 51cm-99cm range, the status is Alert 2, and in the 100cm-400cm range the status is Alert 3 with the buzzer Off. Apart from that, via the Telegram bot the status of Alert 3, Alert 2, and Alert 1 will be informed

Use of RFID Technology to Enhance Electoral Integrity

As the first democratic nation in South Asia, Sri Lanka continues to conduct elections using the traditional paper-based process. The main disadvantages of this procedure are its dependence on human resources, high printing costs, and inefficient vote counting. This research proposes the implementation of an RFID – based voting system to replace the current paper-based election system with paperless electronic voting systems. Radio frequency identification (RFID) is a popular method for automatic identification and data capture that uses electromagnetic fields to automatically identify, and track tags attached to objects. In this system, each registered voter will have a separate voter identity card with an RFID tag printed on it. During the election, the RFID reader module senses the RFID tags with voter ID. After receiving the voter ID from the RFID reader, the IC compares the ID, and if the data matches the already stored information, the voter is allowed to cast his vote. The admin panel has a different ID, and they have authority to see the results, reset the voting results, add a new registered user, remove a registered user, reset all users, and reset all results. If the voter is not authorized the buzzer alarm will ring to inform them that the person is not allowed to vote. The implementation of this system helps to minimize the possibility of rigging in elections, reduce the probability of causing human error, and eliminate the need to do manual work.

Smart Wearable Device for Child Safety by Using IOT

Now-a-days we can see that human life is becoming very fast. Moreover, the city life is getting very busy day- by- day. So in the daily busy schedule it is becoming very difficult for the parents to monitor their children closely. This paper discusses about a smart wearable device like a wristband which tracks the child from time to time to ensure their safety. If any problem occurs it would alert parents through the cell phone so that they can take immediate action. This paper focus on the SMS text enabled communication. Parents can send SMS with some keywords and the device reply back. The device can detect the child’s approximate location, it can detect the body temperature and the surrounding temperature, humidity and also the heartbeat of a child. For the emergency situation, the device would have some measures like an alarm buzzer, SOS light which will notify the bystanders to help the child. So this paper is all about the safety and security of a child to help them to recover from any type of difficulty. Keywords = Wearable, wristband, child safety, IoT, location, SMS

Design Analysis of Portable 1 Channel Infusion Device Analyzer Using Sensor SKU 237545

An infusion pump is a tool used to inject a certain amount of fluid into the patient's body through the patient's veins continuously over a certain period of time. A syringe pump is a tool that functions to push the syringe rod so that it can produce a flow ranging from microliters to milliliters per minute periodically with high accuracy. Very often there are problems with blockages or occlusion when using infusion pumps and syringe pumps. The occlusion limit set is ≤20 PSI according to ECRI. The presence of occlusion in the infusion pump and syringe pump can be identified when there is an alarm buzzer which will sound when a blockage is detected. A 1 Channel Portable Infusion Device Analyzer has been designed using the SKU 237545 Sensor, namely by using a 1 channel flowrate and occlusion sensor and making it portable to be efficient. For this reason, it is necessary to analyze the performance of the tools that have been created. How accurate is it? From the results of performance testing, Oclusion was corrected at 0.242 psi and 0.3 Psi. For flow rate, the largest correction was 2.4 ml/hour and the uncertainty was 6,046 ml/hour. This shows that the accuracy of the design is still quite high and the resulting tool is still not stable, this can be seen from the uncertainty value. The uncertainty that occurs is likely due to the sensitivity of the droplet sensor related to the detection time of the droplet

Sistem Notifikasi Token Listrik Menggunakan Metode Fuzzy Tsukamoto Dengan Sms Gateway Berbasis Arduino

Rapidly developing technological advances have encouraged the emergence of various increasingly sophisticated electrical measurement equipment, including the Kilo Watt Hour meter (KWH). The weakness of this KWH meter system is that the warning system is only in the form of indicator lights and buzzer alarms which are often ignored by users and their range is limited. Users who are outside the home also cannot know the condition of electricity at home. So an electricity token notification system is needed to make it easier for users. This tool is designed by utilizing Arduino Uno, SIM 800L, Potentio. SIM 800L is used to send SMS notifications and Potentio to simulate the number of electricity tokens. In this tool Tsukamoto Fuzzy method is applied to determine the output condition based on the input value. The purpose of designing this tool is to improve the KWH meter warning system so that it can reach users outside the home.

SISTEM KEAMANAN RUANGAN MENGGUNAKAN SENSOR PIR DENGAN BUZZER ALARM DAN EMAIL NOTIFIKASI PADA SMAN 15 KOTA BEKASI

Security systems using motion sensors provide the benefit of knowing crimes that occur using the prototype method, PIR sensors (Passive Infrared Receiver) as sensors to detect human motion so that, when human movement is detected by the PIR sensor, it will sound an alarm and send message notifications via e-mail users use e-mail, so users can find out about actions quickly. The research was carried out by installing motion detection sensors with buzzer alarms and email notifications in the principal, teacher, and administration rooms.

Intelligent Home Security System Based On Single Chip Microcomputer

This paper designs a microcontroller-based intelligent home security system, mainly through the detection and display of ambient temperature signals, human body sensing signals, toxic gas signals, and real-time determination of whether the user set the acceptable range. Wwhen the situation exceeds the acceptable range, through the program to contact the corresponding hardware to alarm and take appropriate processing measures on site, such as fire extinguishing, buzzer alarm. All the software and hardware within the system designed in this paper have passed software testing, hardware testing and system functionality testing and according to the test results, the designed security system functions can be achieved and runs well, meeting the design objectives.

IoT based Human Activity Recognition using Deep learning

Artificial intelligence and the Internet of things (IoT) are the fastest and latest growing technologies that can handle a huge amount of data in computing services. This paper presents a smart human activity recognition system based on IoT that can be used for surveillance purposes working as IoT-based armour. Pose estimation model viz. MoveNet has been employed to extract the anatomical key points from RGB video frames. Different subjects from different camera angles were employed to make the approach person-independent. Diverse Machine learning models such as Decision tree, support vector machines, XGboost, and random forest classifiers were employed using extracted keypoints for training the model for estimating human activity during posture estimation monitoring. SMS are sent to the designated person with the raising of buzzer alarm in case of anomalous behaviour detection.

Battery Monitoring System

In this paper, real-time monitoring the battery based on Internet of things. For safe and reliable operation of batteries on electric vehicles, the online monitoring and states estimation of the battery is necessary. To make it convenient for every vehicle owner to monitor the battery status of their vehicles anytime and anywhere. The Battery Monitoring System will monitor the battery’s parameters continuously. Our proposed system monitors the State of Health, State of Charge and Depth of Discharge. We using an IOT technology for communicating the information. Buzzer alarm is used for indicating the abnormal condition of the battery. LCD display isused to display the information. Key Word: Battery; IoT Technology; LCD Display; Sensor; Power Supply Unit; Micro Controller.

Design Virtual Instrumentation System of a Cigarette Smoke Detector

The contributor to air pollution today is cigarette smoke because almost every public facility is provided with a special room for smokers and a non-smoking room. However, the level of awareness of active smokers is not only harmful to themselves but also to secondhand smoke, especially in smoke-free environments. Along with the development of technology, we can take advantage of the development of a cigarette smoke detector based on the Arduino with the MQ-2 gas sensor. Therefore, this tool will make it easier to monitor a crowded room for cigarette smoke. The system uses the MQ-2 gas sensor to detect cigarette smoke in a room. By using a buzzer alarm as a sign that there is cigarette smoke inside a room. The ppm value obtained from the sensor is 550 ppm on the cigarette sensor to detect cigarette smoke

Implementation of Multi-sensors to Detect Corona Effects in Medium Voltage Distribution Cubicles

Electrical energy is one of the most important energies in everyday life so high-voltage electrical equipment has a vital role in maintaining the reliability of electric power distribution. The corona effect is caused by insulation failure in high-rise equipment which results in disrupted electrical power distribution. The purpose of this research activity is to produce a multi-sensor tool to test the condition of equipment in distribution network booths that have experienced the corona phenomenon. The input data from several sensors used, such as the ozone sensor, will detect ozone gas exposed in the 20kv chamber, detection of ultraviolet light by the UV sensor module, and detection of sound frequency from the hissing of equipment through the microphone sensor experiencing corona will be processed by the Microcontroller and if the value is detected exceeds the reference value that has been set, the output in the form of an LCD will display a corona symptom warning message and instruct the buzzer alarm to sound. The results showed that the prototype of the corona detector was able to identify ozone levels with a maximum value of 21.88 ppb, the largest UV index value of 336, and a maximum hissing frequency of 157 dB in distribution cubicles that experienced the corona effect.

Design of Security System Device for Motorized Vehicles through the Telegram Messenger Application and Updating GPS Locations on Smartphones in Real Time with IoT-based Smart Vehicles

Currently, the number of cases of motorized vehicle theft is increasing. Lack of double security, when left by the owner, is one of the factors that cause vehicles to be easily stolen. Based on these problems, we designed a motorized vehicle security system device that can monitor the condition and update the vehicle location with a smartphone through Global Positioning System (GPS). Furthermore, it can send an active alarm in the form of a buzzer alarm when there is an indication of the danger of vehicle theft. Furthermore, send notifications to the user so that the user immediately locks the vehicle by controlling it remotely in real-time through the Internet of Things (IoT)-based Smart Vehicle Security System using the Telegram Messenger Application and Google Maps (GMaps). The results of testing the response time show that the best performance is very responsive at 2.776 seconds in monitoring and controlling the vehicle. Moreover, the results of testing the vehicle distance position with GMaps and GPS obtained the best performance with a success rate percentage of 97.35% and an error rate percentage of 2.65%. It aims to make vehicle owners feel safe and comfortable and prevent motorized vehicle theft.

Design of automatic processing and testing furniture system based on SCM

In the automatic processing of products, most factories only put forward improvement schemes in processing efficiency, ignoring qualified rates after processing. Therefore, an automatic processing and testing furniture system based on SCM is proposed in this paper. Based on automatic processing, the workpiece detection device is added. In this paper, MCU as the core, using a vision sensor, stepper motor module, system alarm module, wireless transmission module and LIQUID crystal display module, the workpiece processing and detection. It is used to solve the subsequent detection of processed workpieces. In the whole machining process, the first complete processing and testing process, through a transmission belt, can connect processing and testing using the Keil and Proteus simulation. It is realized the size of the visual sensor, step motor positive &negative, buzzer alarm and LCD display, screening unqualified products for secondary processing, further improve the workpiece factory pass rate, has important application value.

A System of Child Detection in Car Using Thermal Sensor

There are some cases about the child died in the car that causes by the parent did not aware their child being left in the car in long duration time. Therefore, there is a project that can overcome the problem of children being left behind in the car that is a prototype that can detect children in the car by using heat-sensing technology and effective indicators to users so that users are aware of the indicators in the prototype system be created. The system of the prototype consists of Arduino MKR WIFI 1010, thermal sensor, buzzer, LEDs, relay, and power bank that be constructed in circuit. This work evaluates the prototype able to detect child remain in car using thermal sensor with detection range is 37cm on the rear car seat and also able to notify the user about its using indicator LED and buzzer alarm. The prototype will connect to the car to operate as the flow in the flowchart. This prototype helps the user to prevent the child be left in a car.

Sistem Keamanan Ruangan Menggunakan Sensor PIR Dengan Buzzer Alarm Dan Email Notifikasi Pada Sman 15 Kota Bekasi

Security systems using motion sensors provide the benefit of knowing crimes that occur using the prototype method, PIR sensors (Passive Infrared Receiver) as sensors to detect human motion so that, when human movement is detected by the PIR sensor, it will sound an alarm and send message notifications via e-mail users use e-mail, so users can find out about actions quickly. The research was carried out by installing motion detection sensors with buzzer alarms and email notifications in the principal, teacher and administration rooms.

Vehicle Over Speeding Detection

Our proposed project aims to develop a system that detects cars driving at speeds over specified limit and inform concerned authorities immediately. Road accidents occurrences have increased recently so there needs to be a system that allows to detect over-speeding cars. Current speed detection systems are handheld guns held by police personnel that allow them to check car speed and then manually inform authorities about the vehicle. Whereas this proposed system does not need any human interception and records car speed as well as wirelessly informs authorities of over-speeding detections. The system first calculates the time required by the specific car for moving from first point to the second. Based on this data it calculates the car speed. This data is gathered and then transmitted by the system wirelessly to concerned authorities at a remote location. The mechanism consists of IT transmitter- receiver pair that work in combination for vehicle detection purpose. The microcontroller is now used to process this data and calculate the time required by vehicle to travel from one point to the other. Depending upon this time it now calculates vehicle speed as well as displays this on an LCD display. The system also sends this data wirelessly. It sounds a buzzer alarm if an over speed vehicle is detected. Over speeding of vehicles is the major cause of accidents in recent times. Monitoring of such over speeding vehicles especially on highways is of prime importance. Many manual methods are being used to detect the over speeding vehicles by traffic control team. However, these methods require lot of man power and continuous monitoring by traffic personnel. In this study, an attempt is made to develop an automatic speed monitoring system, which provides a simple way to monitoring speeds of all the vehicles from a centralized control room. This system calculates the instantaneous speed of vehicle with help of sensors and the over speeding vehicle is detected using an image processing technique using Python programming language. The developed model is validated with real world traffic data and comparative analysis of speeds obtained by manual method and developed model shows that model truly represents the field condition.

Covid-19 Face Mask Detection and People Count

Abstract: During this pandemic the problems faced was shortage of testing services, vaccines and poor medical care all these lead to lockdown for a long run which affected our daily lives. During this pandemic the problems faced were shortage of testing services, vaccine and poor medical care all these lead to lockdown for the long run which affected our daily lives. The prevention for this problem was to wear masks in public areas. Facemask detection had seen remarkable growth in the image processing and deep learning domain. Facemask detection is already an existing concept in which they had used different algorithms and techniques to show better results. The proposed system in this project is developed to avoid mask-less people from entering the desired places by detecting face-mask, and sending a signal to an Arduino device that connects to the sensors and counts the people while entering and exiting. This helps to maintain the social distancing inside those places and limit the Total number of persons. If the total number of people count increases, the Arduino microcontroller will give the buzzer alarm to notify the person. In This project, we use live detection and identify either the person wears a mask or not. Therefore, this proposed approach will make a significant change in the public healthcare system. Keywords: Deep Learning, Sensors, Computer Vision, Convolutional Neural Networks (CNNs), public Safety, face mask detection, OpenCV, COVID-19.