Arduino Microcontroller Research Articles

Implementation of An Application-Based Motor Vehicle Exhaust Emission Level Detection System

Currently, air conditions on earth are getting worse over time due to the impact of air pollution. One example of air pollution is motor vehicle exhaust emissions. Exhaust gas emissions are the result of combustion residue in motor vehicle engines that use fuel. Motor vehicle exhaust emissions contain carbon monoxide (CO), hydrocarbons (HC), carbon dioxide gas (CO2) which have a negative impact on the environment and living creatures. This research will create a motor vehicle exhaust emission detection device. In this design, an Arduino microcontroller was used and the manufacture of this tool used an MQ-7 gas sensor to detect carbon monoxide (CO) gas, an MQ-2 sensor to detect hydrocarbon gas (HC), and an MQ-135 to detect carbon dioxide (CO2) gas. The emission test results will be sent to the application, this data includes plate number, vehicle type, vehicle brand, vehicle year and emission test results. The results of the carbon monoxide (CO) gas sensor calibration test taken from 5 data showed an error of 5.51%. The results of the hydrocarbon (HC) gas sensor calibration test taken from 5 data showed an error of 4.23%. The results of the carbon dioxide (CO2) gas sensor calibration test taken from 5 data showed an error of 1.06%. In the implementation of the tool and application, the test results were obtained for 15 vehicles. Where the highest hydrocarbon (HC) gas content value was 412 ppm, the highest carbon monoxide (CO) gas content value was 1.48%, and the highest carbon dioxide (CO2) gas content value was 21.4%.

Development of a low-cost home automation device using TSOP1738 infrared sensor and Arduino microcontroller

Development of a low-cost home automation device using TSOP1738 infrared sensor and Arduino microcontroller

Arduino-Powered Remote Monitoring System for Real-Time Heart Rate Detection via Bluetooth

With the increasing need for continuous health monitoring, this study presents the development of an Arduinopowered remote monitoring system for real-time heart rate detection via Bluetooth. The system uses an Arduino microcontroller connected to a pulse sensor to measure heart rate, with data wirelessly transmitted via Bluetooth to a remote device, enabling continuous monitoring without direct patient interaction. Initial self-monitoring trials showed consistent heart rate detection within the normal range of 62-70 beats per minute (BPM), suggesting proper functionality for preliminary use. The system also maintained a stable Bluetooth connection with no noticeable data loss. This cost-effective and efficient system is a valuable tool for telemedicine and remote patient care. Future enhancements may include integrating advanced microcontrollers and developing a more sophisticated mobile app with expanded health monitoring features.

Design & automation of a small-scale towing tank for flow visualization

Although the towing tank is a standard piece of equipment used to investigate fluid phenomena, it primarily exists as custom-built hardware that takes up a significant footprint. The size, cost, and custom-built nature have heretofore inhibited the production of this equipment in the authors’ context, an African university. This paper presents a small-scale (1000 mm x 200 mm x 200 mm), low-cost (<$1,000) towing tank made using readily available components and basic digital fabrication tools. Other universities on the continent and beyond can hence create this foundational platform for fluid mechanics-related teaching and research. Leveraging an Arduino microcontroller loaded with the GRBL firmware, G-code is sent from the computer to stepper motors to execute movements in two axes. This allows for automation capabilities, controlled towing speeds, and consistent experimental conditions. Validation tests revealed motion accuracy within 1 %. A glitter-based flow visualization approach to measuring surface phenomena is demonstrated here. Experiments conducted successfully visualized relevant flow characteristics generated by bluff bodies being towed in the tank. As the Reynolds number increased within the operating range, wider wakes and larger, more distinct vortices were generated, as expected. This platform can be replicated widely in institutions that may otherwise forego experimentation in fluid mechanics.

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.

Development of robotic arm control using Arduino controller

The advance of Arduino-based technology has spurred innovation in the realm of robotic arm control, offering a cost-effective and accessible platform for enthusiasts and professionals alike. This paper presents the development of robot arm control using an Arduino controller. The work involves the integration of Arduino microcontrollers and sensors to enable precise and dynamic control of a robotic arm. The proposed robot is controlled by 4 servo motors, the motors rotate left, right, front, and back. The paper discusses the challenges encountered during the development process and proposes solutions, paving the way for further advancements in this burgeoning field. With Arduino's widespread availability and affordability, the presented robotic arm control system holds promise for expanding the accessibility of robotics education and fostering innovation in automation technologies. This paper provides a glimpse into the promising synergy between Arduino and robotic arm control, highlighting the contributions and implications of this technology in shaping the future of automation.

Development of a subsurface monitoring system for land subsidence hazard in the Bandung basin: a laboratory prototype

Abstract Land subsidence is a global environmental hazard posed by urban area worldwide, causing degradation in environmental quality and leads to further disasters such as increased flood risk, contamination risk, and infrastructure damages. Anthropogenic causes, such as groundwater extraction and building weight, cause high land subsidence rates. The behaviour of the subsurface under the influence of anthropogenic causes must be well understood to mitigate this problem. Conventional subsurface monitoring is robust and costly. In this case, we aim to first develop a versatile and low-cost subsurface monitoring prototype for land subsidence at a laboratory scale using a model box. Methods employed were constructing an experiment model box, developing the monitoring system, and trial experiments in the laboratory. The sensors are linear vertical displacement transducer, potentiometer, water level and pressure sensors. The monitoring system uses Arduino microcontroller to convert sensors inputs to desirable outputs and a logger to record the real-time data and transmit it to personal computer in the laboratory. Land subsidence in the Gedebage area in Bandung basin was taken as a model case. The model box was filled with soil from Gedebage, Bandung. A scenario of exploitation of confined groundwater and weight of building was applied for the model case. The results show that the laboratory prototype can monitor the subsurface changes due to the applied anthropogenic forces. In the case of Bandung soil, groundwater exploitation did not immediately cause subsidence instantaneously. There is a time delay between the drawdown of groundwater level and the subsequent vertical deformation. The rate of subsidence varies spatially inside the tank, the largest is close to the pump well and surface loads. A maximum of 2.88 mm subsidence over 663 days was recorded following 1 m groundwater drawdown. This information asserts the importance of long-time monitoring in subsidence areas.

Home Automation System using OpenCV and Arduino

The research focuses on the integration of computer vision capabilities through OpenCV with Arduino-based hardware to create an efficient and versatile home automation system. The system employs cameras for image processing, allowing it to recognize and respond to various environmental changes within the home. The hardware setup utilizes Arduino microcontrollers as the central processing units, enabling seamless communication between the OpenCV algorithms and the connected devices. A user-friendly interface facilitates remote monitoring and control of home appliances through a mobile or web application. By combining the power of OpenCV for image processing and Arduino for real-time control, this home automation system provides a smart and adaptive solution for enhancing security, energy efficiency, and overall convenience within a household. The research’s modular design allows for future expansions and integration with emerging technologies, ensuring scalability and relevance in the rapidly evolving field of smart home automation.

THE EFFECT OF NACL ADDITION TO TiO2/NiSe/NC PHOTOCATALYTIC FOR HYDROGEN GAS PRODUCTION

The widespread utilization of fossil fuel has resulted in fuel scarcity due to population growth and increased industrialization, driving the evolution of new renewable energy sources (NRE). Alternatively, hydrogen production through solar water splitting and TiO2 as a potential photocatalyst can be developed due to its good stability, environmental friendliness, and economic viability. However, TiO2 has the disadvantage of a wide bandgap that requires high energy and fast recombination. Therefore, in this research, TiO2/NiSe (TN) was synthesized with N doped carbon dopant modified with NaCl as a photocatalyst material through a solvothermal method. The characterized material using XRD, SEM, UV-DRS, BET, and FTIR. Photocatalytic activity tests were conducted to determine hydrogen production using an MQ8 sensor integrated with an Arduino microcontroller system. The synthesized materials are TN, TNC-0, and TNC-10. The addition of NaCl in carbon doped nitrogen materials of photocatalyst TNC-10 shows a reduction of the bandgap that is the lowest bandgap value obtained was 3.09eV. The photocatalytic activity test results showed a hydrogen production of 120 ppm for TNC-10, which is six-times higher compared to bare TiO2 as a photocatalyst. The increase in hydrogen gas production is due to the addition of NaCl to NC, which can enhance the photocatalytic activity and hydrogen adsorption on the catalyst surface during hydrogen production.

Prototype of Solar Fuel Monitoring And Security System in Dump Truck Tank Based on SMS Gatway

The process of security and monitoring of fuel oil is one of the activities that is often overlooked. Fuel oil is a driver of industry on a large scale. The use of fuel is less controlled, so many people abuse the use of diesel fuel which has a fairly high selling price among the public. , so this research was built by utilizing an Arduino microcontroller, proximity sensor, ultrasonic sensor, LCD and utilizing a cellular network with a GSM module 900 device which can send messages. Through this research a system was obtained that can be used for security and monitoring of diesel fuel in tanks. truck to provide information on the condition of the amount of fuel in the tank whether it is suitable for use or not.

Implementation of Regenerative Brake System Controller by Using Mini Controller Arduino

The key requirement for electric vehicles is efficient braking. The objective of this study is to provide a detailed description of the regenerative braking system utilizing various power flow regulators. This study utilizes a buck-boost type Boost Converter. There are two methods employed to modify the voltage derived from the fluctuating input produced during regenerative braking: one to decrease it and the other to boost it. Subsequently, a voltage sensor detects the resulting output voltage, which is then regulated using an Arduino microcontroller. The examination findings indicate that the buck-boost converter performs well, maintaining an output voltage within the range of 39-40 volts. This allows it to function well even when there are fluctuations in the input voltage. The voltage value can be utilized for the purpose of charging a battery for a 36 Volt electric motor. The findings demonstrate the efficacy of utilizing a Buck-Boost Converter regulator. Furthermore, it could charge the battery within a span of 8 seconds, making it a viable option for electric vehicles as an alternative to regenerative braking for battery recharging.

Optimizing Plant Watering Efficiency via IoT: Fuzzy Sugeno Method with ESP8266 Microcontroller

This research explores automatic plant sprinklers utilizing fuzzy logic with the fuzzy Sugeno method to overcome optimal watering schedules. Developed with ESP8266 microcontroller hardware and Arduino IDE software, the WSN prototype focuses on spinach plants. Watering in the nursery was done twice a day for seedling growth, then reduced to once a day. Soil moisture levels were assessed using a soil analyzer, as well as temperature variations with the HTC-1 device. Python facilitates data analysis, generating fuzzy inference graphs on temperature sensors (10-40°C) and soil moisture values (1-1024 RH). This innovative approach, which integrates fuzzy logic and advanced hardware, offers a promising solution for effective plant care.

Enhanced multifunctional sensing in human motion with speed-controlled coaxial wet-spun hollow MWCNT-TPU/TPU smart fibers

In the field of personal health management and athletic performance optimization, the demand for multi-parameter human signal monitoring devices is rapidly increasing. Currently, flexible sensors produced through wet spinning techniques face challenges of simplistic structure and functionality, as well as difficulty in balancing strength and sensitivity. In-depth research is needed to develop high-performance wet spinning techniques, which will lay the foundation for commercial smart garments capable of unobtrusively monitoring human motion in the future. This study innovatively employs specialized slurry formulations and spinning speed controls to utilize the timing differences in fiber precipitation and the affinity among similar materials. Through the coaxial wet spinning process, it enables the continuous, large-scale manufacturing of hollow core–shell fibers, MT/T-S5, which feature a dense inner layer and a porous outer conductive layer. This special structure endows the fibers with high strength, high signal stability, and capabilities for both active and passive heating. These fibers achieve a maximum gauge factor (GF) 65.2 in stretch sensing applications and can detect pressures as low as 0.1 N. The MT/T-S5 smart fibers can sense human joint movements, and through connection with an Arduino microcontroller, they can control a robotic hand and perform independent and real-time motion detection of five fingers to distinguish gestures. This research not only provides a new type of fiber material for the development of future smart textiles but also reveals a formation mechanism for hollow core–shell fibers in the field of wet spinning. This discovery can offer valuable inspiration for fiber structural design in future research.

Efficient Departmental Coordination: Real-Time Schedule Display using Arduino

This project tackles the time-consuming task of schedule management for Heads of Departments (HODs) by developing a dynamic, automatic display system. Utilizing an Arduino microcontroller, an RTC module, and a P10 LED display (16x32), the system displays their one-week schedule in real-time, updating automatically each day. Bluetooth connectivity empowers adjustments to the schedule through an external device, offering flexibility and control. Utilizing a P10 LED display for clear visibility, it automatically updates with the real-time clock. Schedule information is embedded within the code for reliability, and the display format is divided for time and detailed schedule. Prioritizing eco- friendliness, it uses low-power components. This project aims to improve departmental communication, transparency, and efficiency by providing a clear and accessible platform for HOD schedule information.

Designing and Implementing a 3DOF Robotic Arm for Color Sorting and Object Identification Using Computer Vision Technology

This paper focuses on designing a three-degree-of-freedom robotic arm for color sorting using computer vision technology. It involves the use of a robotic arm composed of three joints and a gripper for grasping and manipulating objects. Each joint is actuated by a servo motor that is controlled by an Arduino microcontroller to control the angles of the joints and achieve the desired motion. The microcontroller relies on a camera to detect and analyze colors. The camera captures an image of the objects present in the designated area and converts it into digital data to be processed later by a computer. Then, the well-known (OpenCV) and (NumPy) library in the Python programming language is used to process this data and identify the colors. Once the color is determined, the corresponding Python command is executed through the Arduino microcontroller. That allows the robotic arm to move towards the designated location based on the identified color. Consequently, the arm grasps the detected object and places it in the appropriate position according to its color. The effectiveness of the proposed approach has been verified in real-time experiments.

Affordable Green IoT-Based System for Remote Sensing of PM1, PM2.5 and PM10 Particulate Matter

Particulate matter (PM) possesses the capacity to intrude deeply into the respiratory system, even infiltrating the bloodstream. Prolonged exposure to heightened PM concentrations has been causally associated with a spectrum of respiratory ailments, encompassing asthma, bronchitis, and chronic obstructive pulmonary disease (COPD). This paper endeavours to introduce a remote sensing system tailored for the quantification of particulate matter, underpinned by the principles of the Green Internet of Things (GioT). This framework is rooted in the pursuit of an ecologically harmonious infrastructure and energy sustainability. The devised architecture integrates PM 1, PM 2.5, and PM 10 sensors, seamlessly interfaced with Arduino microcontrollers, thereby facilitating real-time data acquisition. To sustainably energize this system, solar cells are harnessed to furnish a reliable power source. Augmenting this configuration is a data communication infrastructure established upon LoRa (Long Range) technology, a hallmark of the Green Internet of Things. Concomitantly, empirical investigations have been conducted to illuminate system performance. These inquiries were conducted in conditions mirroring low particle deposition scenarios, culminating in an observed average error spectrum spanning 5.64% to 6.95%. Further examinations scrutinized the data transmission process through LoRa, unveiling an impressive maximal transmission range of 281 m while conserving data transmission viability. Additionally, an exploration of energy utilization encompassed both empty and comprehensive data transmissions, divulging a marginal disparity of 0.1 Watt per data transmission event. In the final analysis, the conducted assessments affirm the system's fidelity, disclosing an error quotient below the 10% threshold. Most notably, the discerned operational efficiency of the energy supply substantiates its synergy with sustainable energy paradigms. In summation, this study proffers an innovative remote sensing system, harmonizing the nuanced demands of PM quantification with the virtuous principles of the Green Internet of Things. By merging the acumen of PM sensors, solar-driven power provisions, and the efficiency of LoRa communication, the proposed framework establishes a salient benchmark for integrative sensor networks with ecological resonance.

MODIFIKASI SISTEM ERETAN PADA EMCO COMPACT 5-PC CNC LATHE

The EMCO Compact 5-PC CNC Lathe engine made in Austria in the laboratory majoring in Mechanical Engineering, Sam Ratulangi University has not been operating due to the use and maintenance of machines that have been lasted for years so that they are not maintained and cannot be operated anymore. In order to be operated again, the machine needs to be repaired and modified. The purpose of this study is the modification of the eretan system in the EMCO Compact 5-PC CNC Lathe by adding a belt transmission system and calibrateing the motor stepper using a computer, so that a more precise product can be produced. Modification of the EMCO Compact 5-Pc CNC Lathe eretan system has been successful. The Modification Process of EMCO Compact 5-Pc CNC Lathe carried out is the replacement of old components with new components and assembling the grade system components based on the CAD image that has been created. Then the machine is connected to a computer/laptop to calibrate and adjust the speed of the stepper motor on the X axis, Y axis, and X axis through the GRBL Controller Software so that the resulting movements are the same as those programmed. Keywords: Modification, CNC Lathe, CAD, Calibration, Stepper Motor, GRBL, Arduino Microcontroller

Implementasi Teknologi LoRa untuk Monitoring Real-Time Lampu PJU Berbasis Solar Panel

In the digital age, public road lighting (PJU) monitoring efficiency is becoming essential for effective infrastructure management. The research developed a PJU monitoring system based on LoRa technology and an Arduino microcontroller to monitor the operating conditions of PJU solar panels in real time. The system uses the LoRa 433 MHz module for remote data communication and is equipped with a voltage sensor to monitor batteries and solar panels as well as an ACS712 current sensor to measure current consumption on LED lights. The data is displayed on an I2C 16x2 LCD screen, making monitoring easy. LoRa technology offers the advantages of broad communication range and low power consumption. The development method used is prototyping, including needs analysis, system design, implementation, testing, and maintenance. Test results show that the system works well, with sensors providing adequate accuracy and LoRa communication enabling remote data access. The system improves the efficiency and accuracy of PJU monitoring, as well as reduces time and effort in the monitoring process. Overall, the system is an effective solution for PJU management in the digital age.

Wireless Electric Vehicle Charging System using Solar Energy

Abstract: The proliferation of electric vehicles (EVs) has spurred the need for efficient and sustainable charging solutions. This paper presents the design and implementation of a wireless EV charging system integrating solar energy harvesting and Arduino-based control. The proposed system aims to provide convenient and eco-friendly charging for EVs while minimizing reliance on grid electricity. The core components of the system include photovoltaic panels for solar energy capture, wireless power transfer technology for cordless charging, and Arduino microcontrollers for system control and monitoring. By harnessing solar energy, the system reduces dependence on conventional power sources, thereby lowering carbon footprint and operating costs.

SolarBot: A Dual-Mode, Bluetooth-Enabled Two-Wheel Robot Powered by Renewable Energy

This research paper explores the development and deployment of a two-wheel drive robot car that leverages renewable solar energy stored in lithium-ion batteries. The system is designed with an L298N motor driver, an Arduino microcontroller, and an HC-05 Bluetooth module, providing the robot with both autonomous and manual control capabilities. The solar panel, integrated with a charging module and voltage regulator, is mounted on a zero PCB, ensuring a sustainable and uninterrupted power supply. The robot is equipped with ultrasonic sensors, enabling it to detect and navigate around obstacles automatically, ensuring a safe and efficient operation. In its autonomous mode, the robot can navigate predefined paths, making real-time adjustments based on sensor input to avoid collisions. This feature is particularly useful for applications such as automated plant watering, where the robot can move through a garden and irrigate plants while avoiding obstacles. Additionally, the robot can be utilized as a floor cleaning device, capable of maneuvering around furniture and other objects. The RC Bluetooth app facilitates manual control, allowing users to operate the robot remotely for various tasks. The project demonstrates a practical application of renewable energy in robotics, emphasizing the benefits of sustainable energy solutions and versatile operational modes. The use of a wooden platform provides a sturdy base for the robot's components, ensuring durability and reliability. This work contributes to the field of robotics by showcasing how solar power can be effectively harnessed to create energy-efficient, multifunctional robotic systems.