Arduino Microcontroller Board Research Articles

IoT-Based Health Monitoring System

Wireless body area networks, known as body sensor networks, are wireless networks of wearable computing devices. In this case, the wireless network deployed is the Internet of Things or IoT. This special WBAN will allow nurses and doctors to have a real-time view of the patient's physiological data and thereby detect unusual activities in the patient's health. This is achieved by having a device that allows the patient to collect physiological data using sensors controlled by an Arduino microcontroller board. Doctors can then log into the website and monitor the patient's health status in real-time and over some time.

Colour and temperature of the stars: a demonstration using Arduino

Teaching the colour of stars is not as trivial as one might think. It can be challenging for students to grasp that the colour of stars follows a temperature sequence. This paper introduces a simple experimental setup for instructing the correlation between a star’s colour and its temperature. Furthermore, the experimental setup facilitates the exploration of the topic of colour addition, demonstrating to students how to replicate the colour of a star—a spectrum colour—by employing an RGB LED that emits only primary colours (red, green, and blue). The experiment utilised an Arduino microcontroller board in conjunction with RGB LEDs and an LCD display. The activity was conducted with 53 7th-grade students from a private school in Portugal results suggest a positive reception, indicating success in both motivational and cognitive aspects. The overall outcomes underscore the effectiveness of the activity in imparting new knowledge to students.

Solar Based Smart Irrigation System

This article presents a novel mobile application utilizing modern information and communication technology for agriculture, centered on the Internet of Things (IoT), embedded systems, and unmanned aerial vehicles (UAVs). The proposed agricultural monitoring system, employing Arduino microcontroller boards, Wi-Fi modules, and environmental sensors, facilitates data collection on temperature, humidity, and soil moisture. UAVs gather environmental data across the farm, enabling cloud-based computation of irrigation requirements for each region. Additionally, the system remotely monitors farm conditions, including water needs, through an Android mobile application, aiding farmers. Results indicate the effectiveness of our IoT-based system in reducing unnecessary water irrigation, aligning with smart agriculture goals. As the global population burgeons, the demand for increased food production escalates. Traditional farming methods necessitate extensive labor and water usage. This paper introduces a compact automated agricultural system prototype. Employing directional guides, the hardware enables precise processes such as seeding, humidity sensing, and watering, ensuring optimal crop growth and economic viability. From seed sowing to watering, the entire system operates autonomously. Testing involved integrating the hardware with a scaled-down plantation model to validate functionality. Keywords: Solar Panels, Arduino Uno, Soil Moisture Sensor, Relay, Lithium Battery, PIR Sensor, TP4058 Module, Gear Motor, LDR Sensor, Submersible Pump, Buzzer.

Design, Testing, Evaluation, and Implementation of an Arduino-based Mosquito-Repellent System

Aims: The primary objective of this research drive is to design, develop, and evaluate an Arduino-based mosquito-repellent system. This work underscores the importance of developing sustainable and eco-friendly solutions for mosquito control.
 Study Design: An Arduino microcontroller board is used, and an assembly language program is developed to repel mosquitoes from the surroundings. This system uses piezoelectric disks, LED lights, LCD monitor along with the Arduino board and produces ultrasonic sound to protect humans and the environment from mosquitoes.
 Place and Duration of Study: The research effort was steered by the authors in a group under the supervisor of a faculty member as a part of the course capstone project work of the Bachelor of Science in Engineering degree in Computer Science and Engineering at the American International University Bangladesh (AIUB), Dhaka, Bangladesh. The authors performed their research tasks at AIUB from May 2023 to January 2024.
 Methodology: The innovative mosquito-repellent system uses an Arduino Mega 2560 microcontroller to generate a cutting-edge solution to tackle the problem of mosquito infestations. The system can produce an electric signal that can emit mechanical ultrasound signals to be harnessed using a series-connected eight piezo-electric discs. To power up the system, it uses four Li-ion rechargeable batteries charged by using solar energy from the home solar system. Besides, it uses LEDs to indicate the status of the repellent system.
 Results: The generated ultrasonic signal is observed on the oscilloscope screen and its’ value is exhibited on the LCD screen to evaluate the system performance. Testing confirms that the system can drive away mosquitoes within its 3 m surroundings in 2-3 minutes. Besides, the system parameter and cost comparison show that this scheme suggests a worthwhile and sustainable result for making a mosquito-free environment.
 Conclusion: The development of a mosquito-repellent system using ultrasonic sound waves based on an Arduino microcontroller offers a sustainable and effective alternative to traditional methods of mosquito control. Since the system is chemical and health-hazard-free, it is eco-friendly and makes human life more comfortable. The system is portable and cost-effective, making it suitable for use in various settings.

An IoT Real-Time Potable Water Quality Monitoring and Prediction Model Based on Cloud Computing Architecture.

In order to achieve the Sustainable Development Goals (SDG), it is imperative to ensure the safety of drinking water. The characteristics of each drinkable water, encompassing taste, aroma, and appearance, are unique. Inadequate water infrastructure and treatment can affect these features and may also threaten public health. This study utilizes the Internet of Things (IoT) in developing a monitoring system, particularly for water quality, to reduce the risk of contracting diseases. Water quality components data, such as water temperature, alkalinity or acidity, and contaminants, were obtained through a series of linked sensors. An Arduino microcontroller board acquired all the data and the Narrow Band-IoT (NB-IoT) transmitted them to the web server. Due to limited human resources to observe the water quality physically, the monitoring was complemented by real-time notifications alerts via a telephone text messaging application. The water quality data were monitored using Grafana in web mode, and the binary classifiers of machine learning techniques were applied to predict whether the water was drinkable or not based on the data collected, which were stored in a database. The non-decision tree, as well as the decision tree, were evaluated based on the improvements of the artificial intelligence framework. With a ratio of 60% for data training: at 20% for data validation, and 10% for data testing, the performance of the decision tree (DT) model was more prominent in comparison with the Gradient Boosting (GB), Random Forest (RF), Neural Network (NN), and Support Vector Machine (SVM) modeling approaches. Through the monitoring and prediction of results, the authorities can sample the water sources every two weeks.

Control of an intelligent car based on OpenMV perception

This project presents an intelligent car system based on machine vision, which enables the car to perform a series of tasks through visual perception. The project utilizes an OpenMV camera and an Arduino microcontroller board, where the OpenMV camera captures and preprocesses images, and the processed data is then transmitted to the Arduino for further processing and recognition. In addition, the project incorporates the GoogleNet network for training and classifying the preprocessed images. The network is used to recognize common objects, and the model is optimized and tested accordingly. The results demonstrate a high accuracy in image recognition, making it applicable to visual perception in vehicles.

Reduction of energy consumption using remote Variable Frequency Drive (VFD)

The use of technology in irrigation is a parameter to be considered when there is a need for energy savings and greater process control. In several situations, it is necessary to adjust the characteristics of the hydraulic system during operation of the motor shaft in the irrigation system. The use of a Variable Frequency Driver (VFD) changes the frequency of the motor pump to allow the rotation of the motor shaft to suit the needs of the hydraulic system. With a change in the amount of water in the catchment tank, it becomes necessary to adjust the rotation of the motor shaft to a new head. The objective of this study was to develop a system capable of allowing remote control of a Variable Frequency Drive that controls a motor pump that feeds the central pivot. The system was developed from a microcomputer board Raspberry model and an Arduino microcontroller board controlling a potentiometer of 200k and it was observed that three motor-pump-inverter assemblies presented differences in the significance level between the data of the system and the obtained data. The data showed a strong positive correlation. This system can be an alternative when it is not possible to change the inverter parameters in the field.

Bridging the gap between control theory and practice: From simple controller design to a practical microcontroller implementation

The practical implementation of control theory principles often presents challenges in bridging theoretical designs with real-world applications. This paper aims to fill this void by examining four distinct theoretical control techniques, namely the Kalman method, Dahlin method, PID, and Fractional order PID, and systematically implementing them using Arduino microcontroller boards. Theoretical foundations and design considerations are initially presented for each control method. Following that, comprehensive and sequential guidelines are given for converting these abstract ideas into tangible applications using microcontrollers. The text provides a detailed description of the hardware setup and software development process for each method. It focuses on practical aspects such as sensor interfacing, control algorithm implementation, and real-time constraints. An examination of these methods using practical implementation metrics such as response time, overshoot and stability allows us to gain a better understanding of how well each approach is suited for real-world applications. In summary, this study enhances our knowledge of the process of moving from theoretical control design to practical microcontroller implementation. It provides valuable guidance for engineers and researchers who want to apply control strategies in real-time embedded systems.

Automatic Thread Insertion Kit Sewing (ATIKs) Device for Vocational Fashion Design Student: Practical Sewing Application

The incorporation of technology is a consistent aspect of education, which is widely advanced through teaching and learning (T&L) in the industrial revolution 4.0 (IR 4.0) education technology. In this study, an automatic thread insertion set for sewing (ATIKs) was developed. The ATIKs device improves students' understanding and facilitates the process of sewing in fashion design subjects for high school curriculum. The device was programmed using an Arduino microcontroller board and open source Arduino software (IDE). The CDIO model is used as the basis for product development, which includes the steps from conception to design, implementation, and operation. The development for this product consists of the main components standard needle size, automatic thread, Arduino UNO R3, stepper motor, coil, and Arduino coding to control the movement. In addition, this product is relatively portable with its dimensions of 7 x 7 x 10 cm. A qualitative research method was applied using a list of interview protocols validated by five professional experts in the field. Based on the open-ended questions, the experts indicated that this product facilitates the criteria of the T&L process, improves understanding of the use of the thread needle, and increases student confidence in the sewing process. In the future, this kit could be integrated into an automated control system. This research development can help develop teaching tools that further increase student safety and improve student skills and cleanliness in handling sewing tools during hands-on work.

Driver Safety System

Abstract: Blind spots in vehicles and driver drowsiness are significant safety concerns that contribute to road accidents. To address these issues, we propose a comprehensive driver drowsiness and blind spot detection system using advanced technologies and image processing algorithms. The blind spot detection system employs ultrasonic sensors and an Arduino microcontroller board to gather real-time information about potential collision objects in the blind spot area. When a risk is detected, an LED alarm alerts the driver, enhancing their awareness and reducing the likelihood of accidents. Additionally, we explore the implementation of a camera-based blind spot detection system using deep learning techniques, offering a viable option for autonomous vehicles. For driver drowsiness detection, we present a non-intrusive method using a camera to continuously monitor the driver's facial features, such as eye and head movements. By analyzing these features, the system can accurately identify three driver states: awake, drowsy, and sleeping. When drowsiness is detected, the system activates alerts, such as visual and auditory cues, to awaken the driver and ensure their safety. The literature review greatly impacted our system's design, facilitating informed decisions and integration of cutting-edge technologies for an effective driver drowsiness and blind spot detection solution. The research paper also discusses the integration of these systems into various platforms, including mobile apps, Python programs, and IP cameras, providing flexible and cost-effective solutions for different vehicle types. Results from prototype implementations demonstrate the effectiveness and reliability of the proposed methods in detecting blind spots and drowsiness. Overall, this research enhances road safety via efficient blind spot & drowsiness detection, saving lives by addressing driver fatigue. Utilizing tech & machine learning, proposed systems advance active safety & driver assistance

Sistem Keamanan Rumah Menggunakan Sensor Passive Infrared


 The research discusses movement detection tools. This tool is designed to help homeowners detect movement that occurs at home when the homeowner is sleeping. Motion detectors or detectors are designed to help with home security systems. The pir sensor is used as a movement detector which sends notifications in the form of alarms. The method used in this research uses a prototype model process. The tool is made using a pir sensor and an arduino microcontroller board. Test results show that the response to movement is very good and is able to send sound notifications. The results of the research are the design of a pir sensor as a movement detector to help with the security system in the house.

The Implementation of Arduino Microcontroller Boards in Science: A Bibliometric Analysis from 2008 to 2022

Abstract: The name "Ardui no " made i t s international debut in 2005, marking the age of Arduino as one of the most user-friendly and costeffective microcontroller boards (MCBs) for novices. The science implementation of Arduino boards in automation, networking and data acquisition has been increasing steadily. This study provides a thorough Bibliometric analysis from 1122 papers focused on the Scopus database of published microcontroller research, from the first year the Arduino keyword appeared in 2008 until 2022. Various science articles indexed by Scopus and referring to the use of Arduino MCBs are selected. The Bibliometric analysis explores comprehensive and general key attributes that form a trend from the Scopus articles based on authors, titles, publication years, keywords, citations, affiliations, abstracts, funding information, and languages. The generated data is visualized and analyzed to find patterns that appear within the time span. This study found a significant increase in the number of articles on Arduino boards in Biology, Physics, Chemistry, Science, and STEM category ofthe paper. Despite using only the Scopus database, this study opens up to view the direction of the growing application of Arduino boards in Science. The use of B i b l i o m e t r i c a n a l y s i s ma p s t h e s c i e n t i f i c implementation of Arduino boards as an extensive guide for future collaborations in education and industry. Keywords: Arduino, Bibliometric, Microcontroller Boards, Science, Sensor, STEM

A Proposed Controller for an Autonomous Vehicles Embedded System

Many research have observable development in the automated vehicle driving field during the last few decades. This research proposed a simple optimum Intelligent PID (SO PID) controller to simplify the automated vehicle motion control. Control of an autonomous vehicle’s steering routines plays an essential key role. Several steering control procedures are proposed that improve automated vehicle performance. The design of secure embedded control systems must overcome the difficulties associated with designing both computing and control systems. Also, this research introduces a model of the autonomous car prototype controlled via an Arduino microcontroller board and the GPS Module to receive the car coordinates. The car moves safely, and autonomously consequently avoiding the risk of human faults. Several algorithms such as angle and distance calculations to the waypoint and obstacle detection are combined to control the car movement.

Density based traffic control system implementation using Arduino micro-controller board

This paper gives the design of the density-based traffic control system implementation using Arduino micro-controller board. Traffic congestion is a severe problem in most of the cities across the world and it has become a nightmare for the citizens. It is caused by delay in signal, inappropriate timing of traffic signaling etc. The delay of traffic light is hard coded and it does not depend on traffic. Therefore, for optimizing traffic control, there is an increasing demand in systematic quick automatic system. This paper is designed to develop a density based dynamic traffic signal control. The signal timing changes automatically on sensing the traffic density at the junction. The microcontroller used in this project is ARDUINO. The system contains Ultrasonic sensors (trigger and echo) which will be mounted on the either side of the road on poles. It gets activated and receives the signal as the vehicles passes close by it. The work presented here is the mini-project work of the second sem students of electronics & communication engineering department of Dayananda Sagar College of Engg., Bangalore.

SELF CIRCUITRY PERCEPTION FOR PHYSICAL ENVIRONS

The internet of things in the 22nd generation can fight against COVID -19 . COVID -19 is a global pandemic which has brought general changes to human life. COVID -19virus or viral disease can be reduced with the help of social distancing and health monitoring. social distancing can reduce the risk of COVID -19.to maintain physical distance between people, we have made a project which will help people to maintain a minimum distance between them using different Iot sensors and Arduino microcontroller boards. Then people health condition monitoring SPO2 sensor used oxygen level .The infrared temperature sensor appears to be rather straightforward point ,press the button and read the temperature in case of abnormal status GPS Tracking systems enables a base station to keep track of the person current status and navigation system helps the driver to reach the destination and monitoring physical distancing will be part of our life till COVID -19 is under control and this project will help to maintain a secure distance from others.

LA TIERRA : Soil Moisture Detector With Automatic water Irrigation

In this paper, we present a brief conceptual development of the soil moisture detector with automatic water irrigation system. The oxygen that is provided by proper watering is essential for containergrown plants and trees. Because of inappropriate scheduling or inadequate watering, many people are confused of how to take good care of pricey plants or trees like bonsai. In this case, a computerised system that can recognise when to water plants properly could be useful. In this study, an Arduino microcontroller board with an ATMEGA 328p chip was employed. It has a few sensors built in to monitor lighting, soil moisture, and water level in the plant's pot. The Arduino has been programmed to obtain the sensor's norm, compare it to our predetermined standard threshold, and turn on or off the water pump depending on the needs of the plants. If there is a problem supplying water from the source, the owner will be notified via a message alert system that has been set up. The work presented here is the mini-project work of the 2nd sem students of electronics & communication engineering department of dayananda sagar college of engg., bangalore.

Development of a flexible tooling system for sheet metal bending

This article presents the design and development of a flexible tooling system for sheet metal bending. The flexible tooling system aims to reduce manufacturing disturbances and increase the efficiency of the forming process. First and foremost, the structural behaviour of the sheet metal is investigated using the finite element method for the numerical simulation of the three-point bending process. The analysis’ findings enabled the prediction of component reaction to loads, which are essential for the further optimization and enhancement of the tooling system’s flexibility. At the initial stage of the development phase, SolidWorks, the computer-aided design software, is utilized to visualise the flexible tooling system and improve the tooling connectivity design. Furthermore, the prototype is developed by integrating mechanical and electrical components, such as the Arduino Mega microcontroller, stepper motors, and digital stepper drivers. Automation is achieved by programming the Arduino microcontroller board and controlling the stepper motors’ movement to ensure precise displacement and speed control of the forming tools. The tooling system’s major qualities are its high flexibility, achieved through the implementation of two moveable support cylinders and the possibility of being further upgraded to a closed-loop forming system. The higher level of automation and optimization of the sheet metal bending process can lead to improved processing efficiency and help achieve the desired formed products with higher quality and the required geometric tolerance. It is expected that the development of a flexible tooling system will find widespread application in sheet metal bending processes, resulting in reduced material costs, rapid equipment set-up and higher processing repeatability.

Smart Urbanization using IOT Technology

IOT offers systems that combine more than one disparate additive towards their synergistic use. Most of the world's population today lives in cities. By 2030, the population of the cities around the arena is predicted to grow from three.Three billion to five billion people. Due to aid constraints, there may be a hassle inside the destiny to provide all the offerings to the residents. To serve and improve the standard of dwelling of the developing population, it's essential to expand clever towns. The Smart City ambitions to make the most fulfilling and sustainable use of all sources, even as retaining the correct stability among social, environmental and financial expenses. The wireless sensors are connected to road lamps, water tanks, parking areas, dustbins and site visitors lights. Sensors are then connected to an arduino microcontroller board in which every and each essential parameters for the city are monitored and updated to cloud by way of a PC. The cloud is connected with the app server in turn that's connected to the integrated Blynk software of the consumer's Android cellphone. Here we are developing a project based on IOT. IOT is generally a sensor to sensor communication which communicates with the help of the internet.The sensors are connected together to a microcontroller over the internet to focus on five parameters of the city. Emphasis is given on how sensing and communication technologies of IOT can effectively be utilized in clever metropolis monitoring. The project aims at developing a device which facilitates the gathering of information with the assistance of interconnected modules inclusive of a couple of sensors beneficial to the city

Low-cost radon monitoring with validation by a reference instrument

This article reports radon tracing using a low-cost, locally manufactured smart electronic device with comparison to a reference device. Developed for radiation protection and nuclear security, the proposed device consists of a ZP 1200 Geiger-Müller (GM) tube detector with low-cost components including an Arduino microcontroller board, a DHT11 temperature (T) and relative humidity (RH) sensor, and XBee-based Internet of Things (IoT) wireless transmission modules. The reference device measures radon concentration, temperature, and relative humidity in indoor spaces. Typically, the developed device provides data of atmospheric parameters (T, RH) and the ambient dose equivalent rate H*(10). From the ambient dose equivalent rate in µSv/h, the radon activity concentration (in Bq/m3) is determined using standard and recognized conversion coefficients. The coefficients vary according to the ambient radiation strength and range from 5500 to 8900 (Bq/m3)/(µSv/h). The developed device and the reference instrument were used for one month in several dwellings in the city of Yaoundé-Cameroon. Periodic average values of 27.5 ± 2.0 °C (developed device) and 26.2 ± 2.0 °C (reference) for temperature, 74.1 ± 6.4% (developed device) and 73 ± 6% (reference) for relative humidity, and 1500 ± 163 Bq/m3 (developed device) and 1465 ± 164 Bq/m3 (reference) of cumulated radon activity concentrations were obtained for a 24-hour period. Statistical analyzes carried out on the results of the devices provide a linear regression coefficient of R2 = 0.9978, demonstrating good agreement between the instruments.

Design and Fabrication of a Low-Cost System for Smart Home Applications

Smart systems and security got impressive attention and development in recent years, which have been appeared in the terms of smart homes, intelligent security, and the Internet of Things (IoT). Home automation comprises the controlling of the electrical appliances in the home wirelessly or automatically. Many different integrated circuits, sensors, modules, and embedded systems are available to be compatible to integrate with smart homes. In order to apply the concept of smart homes, many issues should be considered like as providing a user-friendly, reliable, secure, and cost-effective. In this paper, an effective and low-cost smart home system is designed and implemented based on the Arduino microcontroller boards with its compatible modules. The proposed work employed many types of sensors to carry out the tasks for the smart home for a couple of the essential segments, the first one is home security and the latter one is home automation. The antitheft home segment is based on the laser source directed on the light-dependent resistor and infrared sensor; once the thief tries to cut the laser or passes beside the sensor, the alarm will be switched on. The later segment aims to detect the fire occurring by the means of the flame sensor, gas leakage detection by the MQ-05 sensor, servo motor to opening/closing the garage door, LCD to display the status of the all-utilised sensors, and finally, the Bluetooth module to controlling the garage door wirelessly. To increase the system performance and reliability the Arduino Nano and the Arduino Leonardo board are utilised.