Arduino Uno Microcontroller Research Articles

Design of an Automatic Trash Can Wheel Robot with Bluetooth Navigation Control Through Smartphone Application

Environmental cleanliness is an important aspect that must be maintained, especially in this modern era. The use of appropriate technology can help increase awareness of cleanliness, one of which is by developing automatic trash cans. This research designs and builds a mobile robot in the form of an automatic trash can that can be controlled via an Arduino Uno microcontroller using Bluetooth and controlled via a smartphone application. This research designs a mobile robot in the form of an automatic trash can that can be controlled via an Arduino Uno microcontroller with Bluetooth and a smartphone application. The system receives navigation commands from the app and uses ultrasonic sensors to detect objects in front of the trash can. The microcontroller processes the command and sensor data to drive the DC motor and servo motor. The servo motor opens and closes the trash can lid automatically when an object is detected at a certain distance. The test results show that this robot can move according to instructions from a smartphone and successfully open and close the trash can lid automatically when detecting objects.

DLSEA-64: dynamic lightweight symmetric encryption algorithm for secure data transmission in IoT based pervasive sensing applications

ABSTRACT Remote patient monitoring, particularly for the elderly, is gaining popularity due to the Internet of Medical Things (IoMT). However, IoMT devices are highly vulnerable to cyber attacks related to data confidentiality. Hence, lightweight cryptographic algorithms are found to be highly necessary to ensure safe data transfer in such devices. This paper introduces a Dynamic Lightweight Symmetric Encryption Algorithm (DLSEA) in order to challenge issues related to real-time data security and privacy. DLSEA is executed on Arduino Uno (ATmega328P) and Arduino Mega (ATmega2560) microcontrollers by using the Proteus simulation tool that employs a 64-bit temporal secret key and a 64-bit block cipher for encryption of data. Several experiments were conducted using payloads of varying sizes to record execution time, energy consumption, RAM usage, ROM usage and avalanche effect. The experiments demonstrated that for data sizes between 128-512 bytes, DLSEA requires 2.49-3.27 ms on the ATmega2560, which is 47% faster than a similar algorithm known as PRESENT. Additionally, DLSEA is 46% more energy-efficient, with RAM usage decreased by 41.81% and ROM usage decreased by 57.19% compared to PRESENT. Experimental results also show that DLSEA satisfies the plaintext sensitivity test, the key sensitivity test, and the rigorous avalanche criteria test (i.e., ~50%).

Utilizing an Arduino Uno-Based System with Integrated Sensor Data Fusion and Filtration Techniques for Enhanced Air Quality Monitoring in Residential Spaces

This study presents an air quality monitoring system that employs the Arduino Uno microcontroller. The system is augmented with a moving average filter and data fusion techniques from BME680 and CCS811 sensors, which are designed to process and combine data from these sensors. The system was tested and analyzed empirically across a range of residential environments in order to validate its efficacy. The findings indicated that the typical IAQ level in a bedroom was approximately 20 units. However, this level increased significantly, reaching 140 units, within minutes after the introduction of a 17% perfume spray. In contrast, the use of an aromatic diffuser resulted in a smaller increase in IAQ to 40 units, which returned to normal levels after ventilation. Moreover, the analysis demonstrated that the kitchen and bathroom exhibited inferior air quality in comparison to the bedroom. This was evidenced by elevated VOC and humidity levels, which were observed to be 10–20% higher due to the combined effects of household activities and inadequate ventilation. This study makes a significant contribution to the field of air quality monitoring by proposing a solution that employs sensor technology and data processing methods to enhance the quality of life within residential spaces.

Wireless transmission of audio signals and temperature data using an optoelectronic system.

This work presents an optoelectronic instrument designed for wireless visible light communication (WVLC) systems, operating within a wavelength range of 380-750nm and compatible with standard radio frequency (RF) communication. The instrument encompasses two distinct architectures. The first enables the transmission and reception of RF-processed audio signals through a three-stage process involving RF signal transmission via Bluetooth, signal multiplexing using acousto-optic modulation, a sinusoidal grating, a PIN photodetector array, and final audio playback. The second architecture focuses on the wireless transmission and reception of temperature data, utilizing a similar three-stage approach that includes temperature data measurements with an LM35 sensor, signal processing with Arduino UNO microcontrollers, and information transmission via Bluetooth. Experimental results for both architectures validate the effectiveness of this optoelectronic instrument, demonstrating its capability to integrate RF and WVLC technologies.

Techniques to mitigate membrane displacement for vacuum-membrane solar-dish facets

The prospects of a multifaceted vacuum-membrane solar dish concentrator are considered in this work. The membrane depths of these facets can shift slightly due to varying ambient conditions throughout an operational day, leading to major focal point shifts and a reduced overall efficiency. The purpose of this work was to experimentally investigate different methods of membrane displacement mitigation. A controlled-environment (indoor) enclosure was employed to examine the effects of static ambient conditions, allowing for the independent manipulation of the surrounding pressure and temperature. Various manufacturing techniques were also investigated within the controlled-environment enclosure, which included alterations in pretension, changes in membrane thickness and adjustments to overall facet sizes. Furthermore, outdoor tests were conducted to determine how solar radiation and convection affected membrane displacement as well as to investigate the performance of various membrane depth control strategies using an Arduino Uno microcontroller. The indoor results showed that opting for a small facet would minimize membrane displacement. The results were supported by material tests and a finite element analysis. The outdoor test results indicated that solar radiation and wind affected the internal temperature and consequently also affected the membrane depth. Furthermore, a focus control system maintaining a constant differential pressure across the membrane achieved the required accuracy of ±2 mm membrane displacement limitation. However, another focus control system consisting of a Hall effect module actively monitoring membrane depth emerged as the most effective, with an increase of about 0.09 mm and a decrease of approximately 0.02 mm from an initial depth of 10 mm. This level of stability with a focus control system will ensure that the facet maintains a consistent optical performance, ultimately advancing the reliability and efficiency of low-cost vacuum-membrane technology.

RANCANG BANGUN PROTOTYPE SMART GREENHOUSE MENGGUNAKAN THINGSPEAK

The design of this smart greenhouse prototype is one of the implementations of artificial intelligence controlled by the Arduino uno microcontroller, which has actuators in the form of lights and pumps and is equipped with DHT22 sensors, Soil Moisture and Temperature Sensors. The method used in making this smart greenhouse prototype is the Prototype method. There are seven stages in the prototype method that guide the process of making robots, namely gathering requirements, building prototypes/prototypes, evaluating prototypes, programming systems, testing systems, evaluating systems, and using the system. The most important stage in making this smart greenhouse prototype is the stage where at this stage testing is carried out on the results of the design and programming of the robot that has been made to prove the robot prototype is in accordance with what is desired or not. The testing process is carried out in tandem with the assembly process and programming process. In the process of assembling and programming the robot prototype, it is done with system errors. Testing with system errors is carried out to get a robot prototype that works optimally.

A comprehensive investigation of an LTE-enabled smart door system using the Arduino UNO

Traditional residential security systems frequently lack remote access and real-time reaction capabilities, necessitating home automation security technology developments. With the rise of the Internet of Things (IoT), solutions such as the Smart Door are prepared to transcend these constraints by leveraging modern communication technology. The article aims to develop, implement, and evaluate an LTE-enabled Smart Door system built on the Arduino Uno platform. The goal is to improve home security by offering keyless entry, real-time surveillance, and remote operation, increasing user convenience and system reliability. We created a Smart Door system with an Arduino Uno microcontroller and LTE connectivity. The system's performance was measured using a variety of measures, including response time, reliability, and security against unwanted access. Testing included simulation environments and real-world scenarios to ensure the system's operational efficacy and security. The Smart Door system performed admirably, with a reaction time of less than two seconds in 95% of commands and strong resilience to brute force attacks. It effectively incorporated keyless entry, live video streaming, and real-time alarms, all controlled by a smartphone app, demonstrating the system's dependability and efficiency in live scenarios. The LTE-enabled Smart Door system considerably improves over traditional home security options. It provides enhanced security, simple operation, and more outstanding remote management capabilities by utilizing IoT technology. These enhancements fill essential holes in existing systems, providing a safer, dependable, and convenient answer for modern home security requirements.

Development and prototyping of a concentrated ethanol gas monitoring system based on the MQ-3 sensor using the KAVi machine calibrator for environmental safety

This research outlines the development of a device for measuring concentrated ethanol gas concentrations using the MQ-3 sensor. The device is engineered utilizing an Arduino Uno microcontroller and an LCD as the output interface. The MQ-3 sensor has demonstrated optimal sensitivity and a linear response to ethanol gas. The range of ethanol gas concentrations tested, from 10% to 70%, was selected to match the capabilities of the KAVi machine in generating ethanol gas. The testing process of the sensor was conducted to generate data that were subsequently calibrated to ensure measurement accuracy. Validation results indicate that the MQ-3 sensor can measure ethanol gas concentrations with high accuracy and good linearity within this range. However, discrepancies between the sensor measurements and the calibrator values were observed and need attention. The development of this device provides improvements in the accuracy and linearity of the MQ-3 sensor compared to previous studies. It is important to note that the KAVi machine has limitations in producing ethanol gas concentrations above 70%, which should be considered in the practical applications of this device. Overall, this device shows great potential in applications for monitoring ethanol gas concentrations, with a note to consider the limitations of the ethanol gas production process from the KAVi machine for more optimal results.

A Mobile Surveillance System with Face Detection and Recognition Abilities

This paper proposes a mobile surveillance system similar to an electronic dog which has the ability to move around a certain location all while detecting and recognizing the individuals and notifying the respective authorities about the detected person. The system uses an Arduino UNO microcontroller along with IR receiver and remote to function as a remote-controlled vehicle while also providing an option for automatic movement of the vehicle. The system also has an integrated camera that constantly feeds live video to a computer system. Haar-cascades take in the frames of videos and detect appearance of human face. Then, pretrained FaceNet Convolutional Neural Network (CNN) compares the detected face to the authorized faces in an attempt to recognize the face. The system also boasts the feature of email notification for which it employs the SMTP protocol to send an email with the detected face to the authorized personnel. The methods and techniques used to implement these features are presented in depth in this paper.

IoT based Smart Aquaculture Monitoring System for Fish Tank Management

Aquaculture, the farming of aquatic organisms, plays a critical role in meeting the increasing global demand for seafood. Effective monitoring and management of aquaculture systems are essential for ensuring optimal conditions and maximizing productivity. This research presents a comprehensive aquaculture-based fish tank monitoring system designed to enhance operational efficiency and fish welfare. At the heart of the system is the Arduino Uno microcontroller, serving as the central processing unit to coordinate various functions. Key components include pH sensor for continuous monitoring of acidity levels, turbidity sensor for detecting suspended particles, and water level sensor for maintaining optical water levels within the tank. In the event of abnormal pH levels or high turbidity, the system triggers automated alerts, sending notifications to the designated owner through SMS and transmitting data to an IoT website for remote monitoring. To ensure consistent environmental conditions, two pump motors are utilized: one for automatic water replenishment in case of water level fluctuations and another for removing water in case of particle accumulation. Furthermore, the system integrates a servo motor mechanism for precise dispensing of fish feed at predetermined intervals, promoting healthy growth and nutrition. Control over pump motors and feeding schedules is facilitated through a user-friendly website interface, providing operators with seamless management capabilities.

AUTOMATIC SPRINKLER SYSTEM USING ARDUINO

This report investigates the implementation and benefits of an Automatic Sprinkler System driven by the Arduino Uno microcontroller in agricultural irrigation. The primary aim is to elucidate the functionality and practicality of this automated system in enhancing water efficiency and crop productivity. Through accessible language and technical explanations, the report explores the system's design, operation, and integration with sensors for optimal performance. Emphasis is placed on the system's ability to provide precise watering, customizable scheduling, and water conservation, thereby addressing critical challenges in modern agriculture. By examining the technical aspects and real-world implications, this report underscores the transformative potential of automated irrigation systems in promoting sustainable farming practices.. Keyword: Arduino Uno, IoT, microcontroller, moisture sensor, sensors, wireless module

THERMAL APPLICATION USING PYRAMID SOLAR STILL TO ENHANCE THE PRODUCING OF CLEAN WATER

Solar stills have become a viable and environmentally responsible method of water purification in the context of tackling the urgent worldwide issue of water scarcity. Solar stills are a practical solution for areas with poor access to clean drinking water since they use the sun's limitless energy to filter contaminants from water. Standard solar still models have been used for this purpose, however their effectiveness and output quality frequently fell short of expectations. Consequently, there is a compelling need to investigate novel designs and technologies in order to improve the functionality of solar stills and the quality of the filtered water. This study examines solar stills as a means of removing contaminants from water within the context of water purification utilizing solar energy. The study specifically highlights a pyramid solar still's inventive design and evaluation because it deviates from regularly used standard models. This pyramid solar still has been designed in a special way, and a thermoelectric system has also been added to improve performance. Furthermore, real-time monitoring of critical water parameters is made possible by the integration of sensors like the DHT11. A pH sensor, a water level sensor, and an Arduino Uno microcontroller are used to provide this real-time monitoring, which provides ongoing information on the purifying process. A heating plate has been added to the pyramid solar still to improve the evaporation process and increase efficiency.

An Integration Method of UML Diagrams and Arduino UNO for Developing Water Pollution Detection System

Despite the scientific and health development in the world, water pollution can pose a threat to human health, whether the pollutants are biological or chemical. In addition, traditional methods of water pollution detecting require high costs, and take time. Due to the importance of water for human life, drinking, irrigation, or for use in industry etc. Thus, reliable methods for water contamination detecting are a crucial issue.This paper aims to propose an integration method of UML diagrams and Arduino UNO microcontroller for developing water pollution detection system. The proposed method consists of three phases, which are system’s design, system's schematic and system’s architecture. It uses use case diagram and sequence diagram. In addition, the system design consisting of a microcontroller and multiple connected sensors for water pollutant detection, namely pH, turbidity, dissolved solids, temperature, oxidation reduction potential and electrical conductivity. The result of this paper is the production an automatic water pollutant detection prototype using Arduino and UML diagrams to display the water pollution parameters. The variables pH, turbidity, dissolved solids, temperature, oxidation reduction potential and electrical conductivity were chosen because they are the physical and chemical parameters that most influence water quality. The proposed system is characterized by measuring the water quality in real time, low cost and its data is accurate and fast.

IoT-based system to detect and control natural gas leaks in residential kitchens

Natural gas is widely used in many homes for cooking, but a lack of gas leak detection has led to large fires and accidents. This article presents the design and implementation of a natural gas detection and extraction system for domestic kitchens in Lima, Peru. The ESP32 microcontroller allowed remote circuit control, resulting in a more convenient setup than the Arduino UNO microcontroller. After calibration of the sensors and their corresponding programming, three actions were established in response to different gas levels: alarm activation, space ventilation and gas extraction, and thermal shutdown. Strategic sensor placement and improved physical presentation of the system were performed to ensure accurate readings and effective deployment. The results demonstrate the proper functioning of the circuit and its ability to prevent accidents related to gas leaks. The designed system offers the advantage of remote monitoring, providing access to the user from any location. In conclusion, this project offers a comprehensive solution to prevent accidents caused by gas leaks in home kitchens. With satisfactory results in terms of operation and rapid response, the project demonstrates its effectiveness in accident prevention. This design offers a practical and accessible solution, improving security and bringing peace of mind to homes.

Automatic Monitoring System Iot (Internet Of Things) Based Water Tanks

Water tanks are widely used to store water in the community. However, the filling process still uses a manual method so it cannot monitor/monitor the water level in the tank, so when the water is full in the tank until it overflows it is then turned off. Water tanks are often placed at a height to take advantage of gravity so that water can flow optimally. The high position of the water tank is difficult for users to reach to determine the quality and volume of water. The performance of this tool has 2 conditions. The first condition will discuss the water level monitoring tool in the tank. Using the tool developed, the water pump can be turned on and off automatically which is controlled using a monitoring tool using a smartphone and the Blynk application with a water level indicator. , water flow, and watervolume and Notification of water conditions via Telegram. Technology for distributing and monitoring water in tanks is still limited to conventional means by turning on and opening the water tap. For this reason, a control system is needed that can monitor and control the water volume in several tanks through one application display on a smartphone such as Telegram. By using the NodeMCU ESP8266 as a microcontroller base, an ultrasonic sensor as a water volume measuring sensor, and a Mini Water Pump, the condition of the water volume and all changes can always be monitored via notifications on Telegram. Apart from that, the tool can also be controlled automatically or manually through the commands provided on Telegram. In this way, the concept of using Telegram as a water tank volume control and monitoring system can be the right alternative choice in designing a water tank control system. The research method used is a prototyping system. The expected result is the realization of automatic floodgates to make it easier for humans to carry out their tasks and make the system run more efficiently. Apart from being automatic, this tool has the advantage that it can be controlled remotely using the internet of things. The design of this automatic sluice gate uses an Arduino Uno microcontroller as a processing tool, and is equipped with an ultrasonic sensor, water level float switch sensor, servo motor.

Revolusi Keamanan Berkendara : Sistem Keselamatan Berbasis Mikrokontroller

The increasing need for transportation, especially motorcycles, has led to many illegal methods and criminal actions by individuals committing motorcycle theft. Fundamentally, security and safety are the primary concerns motorcycle users must pay attention to on the road. Many vehicle users neglect safety while riding, such as inappropriate driving. Some actions endanger themselves and other drivers, like using a cell phone while riding, causing the rider to lose focus. Therefore, this research offers a solution as a microcontroller-based security and safety system aimed at minimizing motorcycle theft and improving riding safety. The solution from this research is to produce a microcontroller-based technology utilizing RFID for security, touch sensors, and push buttons for safety when the rider does not follow proper riding procedures. The Research & Development method is used in this research, with five stages: analysis, design, development, implementation, and evaluation. The results of this study are a prototype of a security and safety system based on an Arduino Uno microcontroller as the control center. Regarding security, the vehicle starts only with registered access in the control center, which is then placed on the RF reader installed on the car. From the test results, using an e-KTP as the vehicle access medium successfully started the motorcycle with a 0% error rate from 10 trials. Regarding rider safety, using a touch sensor to test the number of passengers was successful, with an 80% success rate from 10 trials. The push button succeeded with a 100% success rate from 10 trials when users did not position their hands on both motorcycle handles (bars) and successfully triggered the alarm when the rider was not riding correctly.

Atwood machine automation using Arduino and LabVIEW

The Atwood machine is an apparatus used in physics experiments to visualize the concept of Newton’s Second Law of Motion. However, the data collection on the Atwood machine, which is still done manually using a stopwatch, may cause errors and can be time-consuming. To improve the efficiency and accuracy of the experiment, this research developed Atwood machine automation using Arduino Uno microcontroller. The automation enables automatic release of weights and automatic data collection through a graphical user interface developed using LabVIEW. The experiment using the automated machine obtained satisfactory results in verifying the earth’s gravitational acceleration. Therefore, this machine can be used in physics learning, especially in physics experiment. The automation also enables remote utilization through internet connection, thus allowing easier and wider access for users.

Calligraphic interdigitated capacitive sensors for green electronics

This study presents a novel approach to fabricating interdigitated capacitive (IDC) touch sensors using graphite-based pencils on a wood substrate. The sensors were designed to detect touches and pressure variations, offering a cost-effective and environmentally friendly solution for sensor fabrication. The fabrication process involved abrasion of graphite pencils on a wooden substrate to create conductive traces, followed by the integration of interdigitated electrode structures. Capacitance variations resulting from touch interactions were investigated to calibrate sensor responses for tailored tasks. The sensitivity of the sensor was found to be 1.2 pF/kPa, highlighting its responsiveness to pressure variations. Additionally, the sensors were interfaced with an Arduino Uno microcontroller board to demonstrate practical applications, such as replicating arrow key functionality. Additionally, the sensors exhibit sensitivity to environmental factors, with the relative change in capacitance increasing from 0.1 to 0.65 as relative humidity ranges from 30 to 90%. Furthermore, variations in temperature from 30 to 60ºC result in a relative change in capacitance increasing to approximately 0.5. The results indicate the feasibility and versatility of using wood-based substrates and graphite-based pencils for fabricating IDC touch sensors, offering promising prospects for sustainable and accessible sensor technology.

Analysis of a Hybrid Model of Automated Vehicle Safety System Consists of Rain Sensor-Controlled Wiper and Ultrasonic Sensor-Based Auto-Braking System

This paper presents an analysis of a novel hybrid model integrating two crucial safety features in modern vehicles: a Rain Sensor-Controlled Wiper (RSCW) and an Ultrasonic Sensor-Based Auto-Braking System (US-ABS) using Arduino UNO micro-controller. The integration of these systems aims to enhance vehicle safety by addressing two critical aspects: visibility during adverse weather conditions and collision avoidance through automated braking mechanisms. The Rain Sensor-Controlled Wiper (RSCW) component utilizes advanced sensor technology to detect precipitation on the vehicle's windshield accurately. Upon detection, the system automatically activates the wiper mechanism, tuning the wiper speed and frequency according to the amount of rainfall. By ensuring optimal visibility, the RSCW system significantly reduces the possibility of mishaps brought on by vision impairment due to rain, snow, or other weather phenomena. Complementing the RSCW, the Ultrasonic Sensor-Based Auto-Braking System (US-ABS) serves as a proactive safety measure to prevent collisions. Employing ultrasonic sensors strategically positioned around the vehicle, the US-ABS continuously monitors the surrounding environment for obstacles, vehicles, or pedestrians. When an imminent collision risk is detected, the system triggers automatic braking interventions to mitigate or entirely prevent potential accidents. In this analysis, we evaluate the effectiveness of the hybrid model by considering various factors, including accuracy, response time, and real-world performance. We have explored potential synergies between the RSCW and US-ABS components, assessing how their integration can further improve overall safety and reliability.

Portable Medication Reminder System for Elderly and Alzheimer's Patients

As healthcare demands rise and the senior population grows, innovative results are essential for cases with habitual ails and memory-related conditions like Alzheimer's. Introduces a movable drug memorial System designed for hospitals, old age homes, and independent elderly citizens. The system, erected around an Arduino UNO microcontroller, integrates an IR detector, buzzer, TV display, RTC module, keypad, LED, and GSM module, working together to give timely drug monuments. In hospitals, it integrates into patient care routines, driving visual and audile monuments for nursing staff to insure timely drug delivery. This integration helps drug crimes and ensures that cases are cleaved to their prescribed treatment plans. Old age homes profit from the stonerfriendly device, allowing residents to manage their drug schedules via the TV display and keypad. The system's simplicity and trust ability can significantly ameliorate the quality of life for senior residents. For independent seniors, the movable system provides monuments through the TV display and buzzer, with the GSM module transferring SMS cautions to family members or caregivers if boluses are missed. This point is particularly precious for those who live alone, offering peace of mind to both the seniors and their families. Alzheimer's cases, floundering with memory loss and drug adherence, gain significantly from this system. The combination of visual and audile monuments, along with the straightforward keypad and TV display, offers an effective tool for managing their drug needs. By icing timely drug input, alleviates the progression of symptoms and enhances the overall well-being of Alzheimer's cases.