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Relevant bibliographies by topics / STM32-based microcontroller

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Academic literature on the topic 'STM32-based microcontroller'

Author: Grafiati

Published: 5 June 2025

Last updated: 8 July 2025

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Journal articles on the topic "STM32-based microcontroller"

1

Pu, Yufan. "Smart Home Security Design Based on STM32 Microcontroller." Architecture Engineering and Science 5, no. 1 (2024): 30. http://dx.doi.org/10.32629/aes.v5i1.1843.

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This paper addresses the needs in the field of smart home security, based on STM32 microcontroller for smart home security design. Firstly, the background and research significance of smart home security are introduced, and the current situation and development trend of smart home security are briefly summarized. Then, the basic concepts and classifications of microcontrollers are introduced, and the applications and roles of microcontrollers in smart home security are elaborated. Next, the STM32 microcontroller was selected, the system hardware circuit and software program were designed, and the system was implemented and tested. Finally, the research work of this paper is summarized, problems and shortcomings are pointed out, and future research directions and prospects are discussed. Through the research and realization of this paper, the security level of smart home can be effectively improved, and make some contributions to the development of smart home.

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Zhang, Zhiyuan. "Analysis of the development of an STM32-based smartwatch." Applied and Computational Engineering 31, no. 1 (2024): 43–51. http://dx.doi.org/10.54254/2755-2721/31/20230120.

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Sensors and microcontrollers are well-functioning and inexpensive, and the smartwatch industry continues to grow. In response to the problems of traditional smartwatches, which are not fully functional, have poor computing effectiveness and are not suitable for wearing, this thesis designs a smartwatch based on the STMicroelectronics NUCLEO-L476RG microcontroller, using Altium Designer 17 software to draw The schematic diagram and Printed Circuit Board are drawn using Altium Designer 17 software, the driver code of the sensor is compiled and integrated using MBED software, the signal is processed by the STMicroelectronics NUCLEO-L476RG microcontroller and displayed in the Organic Light-Emitting Diode with Bluetooth debugger The measured parameters, such as heart rate, ambient temperature, number of steps, latitude and longitude, are displayed in the Organic Light-Emitting Diode with Bluetooth debugger. The results of the study show that the transmission of the signals in the STMicroelectronics NUCLEO-L476RG microcontroller and the display of the signals in the Organic Light-Emitting Diode and Bluetooth debugger have the advantages of small size, perfect functionality and low energy consumption, making it convenient for the user's daily use.

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Zhou, Feng. "Drip Detection System based on STM32 Microcontroller." Scientific Journal of Technology 6, no. 4 (2024): 11–16. http://dx.doi.org/10.54691/cshe9t47.

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This design of the drip detection system is based on the STM32 microcontroller, making it highly practical and innovative. The system combines multiple sensors and control modules to achieve high-precision detection and monitoring of intravenous drip infusions. By integrating various sensors such as a drip rate detection module, a temperature sensor, and a water level detection module, the system can comprehensively monitor the status of the intravenous drip, including drip rate, liquid level, and temperature. Through data processing and control by the STM32 microcontroller, the system can real-time monitor the drip rate, liquid level, and temperature of the intravenous drip, and display these data on an OLED screen, providing intuitive information feedback. After conducting tests and analysis on the system, its stability and reliability have been verified. With its high-precision drip detection capability, the system can meet the needs of life science experiments for droplet detection. This system is widely applicable in various fields such as medical, chemistry, and biology. In the medical field, it can be used for precise drug delivery, thereby improving treatment effectiveness. In chemical and biological experiments, it can be used for accurate dispensing of liquid reagents, ensuring the accuracy of experimental results. The system features an OLED display, providing a user-friendly interface, and also comes with button operations, enabling users to conveniently set and operate system parameters. Overall, this drip detection system based on the STM32 microcontroller not only possesses a high level of technological sophistication but also has broad prospects for practical applications. It provides an efficient and accurate solution for droplet detection and will play a significant role in related fields.

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Yadav, Vinod. "Electronic Measurement Techniques for Coating/Paint Thickness Using STM32 Microcontroller." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 407–9. https://doi.org/10.22214/ijraset.2025.71829.

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Abstract: Paint or coating thickness plays a critical role in product quality control, corrosion resistance, and cost optimization. This paper explores electronic methods for measuring coating thickness on various substrates using STM32 microcontrollers. The methods implemented include Magnetic Induction for ferrous materials, Eddy Current for non-ferrous substrates, and Ultrasonic Pulse-Echo for universal applications. Each sensor method is integrated with STM32 microcontroller-based data acquisition and control, with added support for Bluetooth transmission and Excel-compatible data logging. The goal is to provide a low-cost, modular, and portable alternative to conventional thickness gauges.

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Vialov, Serhii, та Andrii Dunai. "Порівняльний аналіз систем програмування мікроконтролерів серії STM32 у виробах авіаційного застосування". Aerospace Technic and Technology, № 4sup2 (24 серпня 2023): 65–69. http://dx.doi.org/10.32620/aktt.2023.4sup2.08.

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The subject of the research is the software development environment for STM32 series microcontrollers, which play an important role in the electronic support of modern aviation and are an integral part of the development process of aircraft systems. Goal. The selection of the most current STM32 series microcontroller programming system for aviation products. Tasks. Overview of major popular software development environments for STM32 microcontrollers such as STM32CubeIDE, VisualGDB, IAR Embedded Workbench for ARM, Keil MDK, Arm Development Studio, and Simulink. Various aspects of programming systems are considered, including software development, feature availability, and integration with development tools and environments. Research methods. Carrying out a comparative analysis; separation of the characteristic features of the use of programming environments in avionic devices using the example of JSC "Element". In view of the use of environments in the field of avionics, special attention was paid to certification and reliability using examples of safety standards, verification, and testing tools. The results. It was found that code debugging, memory analysis, code optimization, and other basic functions are inherent to all considered development environments. Distinguishing features inherent in individual programming environments are identified, including microcontroller robot simulation, high performance and compilation speed, open source code, optimization, support from the manufacturer, and a wealth of documentation, including user manuals, code examples, support forums, training courses, webinars, and articles from development companies. Conclusions (scientific and practical novelty). The results of the analysis provide important conclusions regarding the better choice of STM32 microcontroller programming systems in aviation products. The comparisons and analyses made will help software developers choose the most suitable programming system for their specific needs. A conclusion was made about the feasibility of using development environments such as IAR Embedded Workbench for ARM and STM32CubelIDE for developing aviation software based on STM32.

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Jin, Shihao. "STM32 microcontroller and CAN bus based FSAE racing car electrical part design." Applied and Computational Engineering 85, no. 1 (2024): 256–61. http://dx.doi.org/10.54254/2755-2721/85/20241003.

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A microcontroller is a kind of chip in integrated circuits, which is a device that integrates multiple components together to accomplish a certain function. Compared with the traditional digital module, the advantages of a microcontroller lie in smaller size, lower power consumption, and higher flexibility. Its performance and functionality of the expansion depend on the design and manufacturing process of integrated circuits, and the wide application of microcontrollers cannot be separated from the support of integrated circuits. With the continuous development of integrated circuits, the application of microcontrollers is also more and more extensive; in automotive electronics, industrial control, and embedded systems have been applied on a large scale. CAN bus is a kind of serial communication protocol used for communication between various electronic components in the vehicle. It is one of the most widely used communication buses in the world, and it has been applied on a large scale in the fields of the automotive industry, aerospace industry, industrial control, safety protection, and so on. Scale application. This paper mainly discusses the application of STM32 microcontrollers and their ability to bus in FSAE racing cars, the functions they can realize, and the enhancement of racing car performance.

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Rutuja, Gite. "IoT based Water Tank Cleaner using STM32." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34430.

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Water tanks are essential for storing and supplying clean water in both residential and industrial settings. However, over time, these tanks can accumulate sediment, algae, and other contaminants that can compromise water quality. Cleaning and maintaining water tanks is a critical task to ensure the supply of safe and clean water to consumers. The IoT-Based Water Tank Cleaner using STM32 project aims to address this issue by developing an innovative solution that automates the cleaning process of water tanks. This project leverages the power of the Internet of Things (IoT) and the capabilities of the STM32 microcontroller to create an intelligent and efficient water tank cleaning system. This project presents an innovative solution for water tank cleaning using the STM32 microcontroller and IoT (Internet of Things) technology. The proposed system automates the process of cleaning and monitoring water tanks, ensuring efficient operation and minimizing manual intervention. Water scarcity is a pressing global issue, necessitating efficient management of water resources. One significant aspect of water management is maintaining the cleanliness of water storage tanks, which often harbor contaminants due to neglect or inadequate cleaning procedures. This project introduces an IoT-based solution leveraging the STM32 microcontroller to automate the cleaning process of water tanks. The system employs sensors to monitor water quality, an actuator for tank cleaning, and IoT connectivity for remote monitoring and control. Key Words: Water tank cleaning, IoT-based solution, STM32, Water quality, Sediment removal

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Miao, Xia, Xiaoyan Chen, and Jianliang Li. "Design of Smart Bracelet Based on STM32 Microcontroller *." Proceedings of International Conference on Artificial Life and Robotics 27 (January 20, 2022): 1080–84. http://dx.doi.org/10.5954/icarob.2022.os12-6.

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Mahajan, Dr Rana S. "Biometry based Exam Door Verification System with SMS Alert." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29837.

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In the dominion of educational institutions, the security and integrity of examinations are of paramount importance. Traditional methods of verifying student identities using photo ID cards and signatures have proven inadequate in the face of evolving challenges related to impersonation, cheating, and unauthorized access to examination halls. To address these concerns, this project introduces a novel Biometry-Based Exam Door Verification System with SMS Alert, employing STM32 microcontroller technology for advanced security and real-time notifications. The system leverages biometric data, specifically fingerprint recognition, to ensure swift and accurate student identity verification. By implementing the STM32 microcontroller as the system's core, it manages data processing, biometric authentication, and communication functions seamlessly. The inclusion of an SMS alert system enables instant notifications to exam administrators, facilitating immediate responses to student check-ins and potential security breaches. The project reflects a forward-thinking approach to examination security, embracing technological advancements to address contemporary challenges in educational institutions. It offers an innovative and scalable solution for institutions seeking to uphold the integrity of examinations while improving overall administrative efficiency. Key Words: Biometric-Based Exam Door Authentication System, STM32 microcontroller technology, advanced security, real-time notifications, biometric data, biometric fingerprint module, etc.

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Chen, Huixian, Tianqi Cheng, Zidi Zhu, and Huanxiao Mai. "STM32-Based Health Monitoring System." International Journal of Mechanical and Electrical Engineering 5, no. 3 (2025): 27–32. https://doi.org/10.62051/ijmee.v5n3.04.

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With the intensifying trend of global population aging, the demand for health monitoring among the elderly is becoming increasingly urgent. This paper addresses the issues of bulkiness and complexity in traditional health monitoring devices by proposing a portable health monitoring system based on STM32 embedded technology. The system utilizes the MAX30102 photoplethysmography (PPG) sensor to achieve non-invasive heart rate and blood oxygen saturation (SpO₂) detection. An optimized signal processing algorithm effectively eliminates motion artifacts, while the STM32F103C8T6 microcontroller facilitates data acquisition and real-time analysis. Compared to conventional medical equipment, this system is compact, energy-efficient, and user-friendly, offering a reliable technological solution for daily health monitoring and chronic disease management in the elderly. It holds significant application value in the field of smart elderly care.

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Book chapters on the topic "STM32-based microcontroller"

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Yue, Changlu, Kaichun Wang, Cairui Yue, Jiating Zhu, and Yulong Huang. "Master-Slave Power Battery Management System Based on STM32 Microcontroller." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6886-2_21.

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Cheng, Qian. "Design Method of Experimental Development Board Based on STM32 Microcontroller." In Cyber Security Intelligence and Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97874-7_145.

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Gao, Lang, and Guo Li. "Design and Implementation of Smart Home Control System Based on STM32." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2409-6_12.

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Abstract With the rapid development of Internet of Things (IoT) technology, smart home control has become an indispensable part of modern life. This study designs a smart home control system based on the STM32 microcontroller, combined with Tencent CloudBase and WiFi communication technology, to achieve remote control of home devices and real-time monitoring of home environments. The system uses the MQTT protocol to transmit data and send control commands. At the same time, a WeChat mini-program is developed as the client for controlling devices. The feasibility of the system has been verified through testing.

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Chen, Xinyue. "Design of Iot Data Acquisition System Based on Neural Network Combined with STM32 Microcontroller." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50577-5_4.

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Bruno, Giovanni di Dio. "Erwhi Hedgehog: A New Learning Platform for Mobile Robotics." In Makers at School, Educational Robotics and Innovative Learning Environments. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77040-2_32.

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AbstractErwhi Hedgehog is one of the smallest mobile robots. It enables mapping and vision analysis, and also displays machine learning features. Behaving like a small, curious animal, eager to explore the surroundings, the robot can be used to test navigation, mapping and localization algorithms, thus allowing the prototyping of new hardware and software for robotics. This application is particularly handy for educational robotics, at both high school and university level. On the one hand, the project is fully open source and open hardware under MIT license and available on Github, so everyone can build his/her own Erwhi Hedgehog robot with the aid of a step-by-step guide. On the other hand, students with more advanced knowledge can use it as a prototyping platform for developing new software programs and features. Erwhi uses Intel RealSense, AAEON UP Squared and Myriad X VPU technologies, with software based on the Robotic Operating System (ROS), and implements SLAM algorithms, such as RTAB-Map. The machine learning aspect is based on the OpenVINO framework and a dedicated ROS wrapper was used. The software package includes all the programs needed to create a Gazebo simulation. In terms of hardware, motor control is based on an STM32 microcontroller and the Arduino software, and the robot works on the differential drive unicycle model. Finally, Erwhi is compatible with AWS RoboMaker tools.

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Ibrahim, Dogan. "STM32 Nucleo Development Boards." In ARM-Based microcontroller projects using MBED. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-08-102969-5.00004-5.

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Ibrahim, Dogan. "STM32 Nucleo Expansion Boards." In ARM-Based microcontroller projects using MBED. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-08-102969-5.00017-3.

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Ibrahim, Dogan. "Clicker 2 for STM32 development board." In Arm-Based Microcontroller Multitasking Projects. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-821227-1.00004-9.

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"STM32 Nucleo-F411RE Pin Layout." In ARM-Based microcontroller projects using MBED. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-08-102969-5.09995-x.

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Conference papers on the topic "STM32-based microcontroller"

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Li, Mingsheng, Zhenyu Jiang, Deyuan Liang, Qiang Huang, and Ruizhuo Gu. "Design of Flat Ladder Device Based on STM32 Microcontroller." In 2024 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA). IEEE, 2024. https://doi.org/10.1109/aeeca62331.2024.00053.

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Zhang, Zhixia, and Zhilei Wang. "A kind of intelligent access control system based on STM32 microcontroller unit." In International Conference on Optics, Electronics, and Communication Engineering, edited by Yang Yue. SPIE, 2024. http://dx.doi.org/10.1117/12.3049878.

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Li, Mingxing, Juan Yu, and Lang Bai. "Design of ID card recognition system based on OCR and STM32 microcontroller." In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC). IEEE, 2024. https://doi.org/10.1109/eiecc64539.2024.10929514.

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Zhu, Delong, and Ye Wang. "Smart Home Control and Implementation for Elderly People Living Alone Based on STM32 Microcontroller." In 2024 6th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI). IEEE, 2024. https://doi.org/10.1109/ricai64321.2024.10911857.

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Zhang, Kaipeng, Jingxu Zuo, Xinyu Yang, and Sen Xue. "Intelligent robots and their systems based on STM32 microcontrollers." In 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII). IEEE, 2024. http://dx.doi.org/10.1109/icmiii62623.2024.00132.

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Murugan, Kalpana, and M. Lorate Shiny. "Design and Development of Pulse Rate Monitoring System Powered by STM32 Microcontroller." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823275.

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Li, Zongkang, John H. Marsh, and Lianping Hou. "High Precision Laser Ranging Based on STM32 Microcontroller." In 2020 International Conference on UK-China Emerging Technologies (UCET). IEEE, 2020. http://dx.doi.org/10.1109/ucet51115.2020.9205377.

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Qiao, Feipeng, Chunlei Ji, Xiangxu Zeng, and Jiyong Zhang. "A Capacitive Pest Detection Approach Based on STM32 Microcontroller." In 2019 6th International Conference on Systems and Informatics (ICSAI). IEEE, 2019. http://dx.doi.org/10.1109/icsai48974.2019.9010239.

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Wen, Jialiang, Yun Zhang, Yuguo Sui, Sizhu Chen, and Yinghao He. "Intelligent Electronic Lock 'Security Guard' Based on STM32 Microcontroller." In 2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA). IEEE, 2023. http://dx.doi.org/10.1109/icdsca59871.2023.10393438.

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Lei, Shuyue, Haibing Yan, Ziyan Li, and Yilin Zhou. "Automatic switching window ventilation system based on STM32 microcontroller." In Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), edited by Xiangjie Kong. SPIE, 2023. http://dx.doi.org/10.1117/12.2674867.

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