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The SparkFun Thing Plus Matter is the first easily accessible board of its kind that combines Matter and SparkFun’s Qwiic ecosystem for agile development and prototyping of Matter-based IoT devices. The MGM240P wireless module from Silicon Labs provides secure connectivity for both 802.15.4 with Mesh communication (Thread) and Bluetooth Low Energy 5.3 protocols. The module comes ready for integration into Silicon Labs' Matter IoT protocol for home automation. What is Matter? Simply put, Matter allows for consistent operation between smart home devices and IoT platforms without an Internet connection, even from different providers. In doing so, Matter is able to communicate between major IoT ecosystems in order to create a single wireless protocol that is easy, reliable, and secure to use. The Thing Plus Matter (MGM240P) includes Qwiic and LiPo battery connectors, and multiple GPIO pins capable of complete multiplexing through software. The board also features the MCP73831 single-cell LiPo charger as well as the MAX17048 fuel gauge to charge and monitor a connected battery. Lastly, a µSD card slot for any external memory needs is integrated. The MGM240P wireless module is built around the EFR32MG24 Wireless SoC with a 32-bit ARM Cortext-M33 core processor running at 39 MHz with 1536 kb Flash memory and 256 kb RAM. The MGM240P works with common 802.15.4 wireless protocols (Matter, ZigBee, and OpenThread) as well as Bluetooth Low Energy 5.3. The MGM240P supports Silicon Labs' Secure Vault for Thread applications. Specifications MGM240P Wireless Module Built around the EFR32MG24 Wireless SoC 32-bit ARM-M33 Core Processor (@ 39 MHz) 1536 kB Flash Memory 256 kB RAM Supports Multiple 802.15.4 Wireless Protocols (ZigBee and OpenThread) Bluetooth Low Energy 5.3 Matter-ready Secure Vault Support Built-in Antenna Thing Plus Form-Factor (Feather-compatible): Dimensions: 5.8 x 2.3 cm (2.30 x 0.9') 2 Mounting Holes: 4-40 screw compatible 21 GPIO PTH Breakouts All pins have complete multiplexing capability through software SPI, I²C and UART interfaces mapped by default to labeled pins 13 GPIO (6 labeled as Analog, 7 labeled for GPIO) All function as either GPIO or Analog Built-in-Digital to Analog Converter (DAC) USB-C Connector 2-Pin JST LiPo Battery Connector for a LiPo Battery (not included) 4-Pin JST Qwiic Connector MC73831 Single-Cell LiPo Charger Configurable charge rate (500 mA Default, 100 mA Alternate) MAX17048 Single-Cell LiPo Fuel Gauge µSD Card Slot Low Power Consumption (15 µA when MGM240P is in Low Power Mode) LEDs: PWR – Red Power LED CHG – Yellow battery charging status LED STAT – Blue status LED Reset Button: Physical push-button Reset signal can be tied to A0 to enable use as a peripheral device Downloads Schematic Eagle Files Board Dimensions Hookup Guide Datasheet (MGM240P) Fritzing Part Thing+ Comparison Guide Qwiic Info Page GitHub Hardware Repo

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Computer vision is probably the most exciting branch of image processing, and the number of applications in robotics, automation technology and quality control is constantly increasing. Unfortunately entering this research area is, as yet, not simple. Those who are interested must first go through a lot of books, publications and software libraries. With this book, however, the first step is easy. The theoretically founded content is understandable and is supplemented by many practical examples. Source code is provided with the specially developed platform-independent open source library IVT in the programming language C/C++. The use of the IVT is not necessary, but it does make for a much easier entry and allows first developments to be quickly produced. The authorship is made up of research assistants of the chair of Professor Ruediger Dillmann at the Institut für Technische Informatik (ITEC), Universitaet Karlsruhe (TH). Having gained extensive experience in image processing in many research and industrial projects, they are now passing this knowledge on. Among other subjects, the following are dealt with in the fundamentals section of the book: Lighting, optics, camera technology, transfer standards, camera calibration, image enhancement, segmentation, filters, correlation and stereo vision. The practical section provides the efficient implementation of the algorithms, followed by many interesting applications such as interior surveillance, bar code scanning, object recognition, 3-D scanning, 3-D tracking, a stereo camera system and much more.

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The Internet of Things (IoT) is a new concept in intelligent automation and intelligent monitoring using the Internet as the communications medium. The “Things” in IoT usually refer to devices that have unique identifiers and are connected to the Internet to exchange information with each other. Such devices usually have sensors and/or actuators that can be used to collect data about their environments and to monitor and control their environments. The collected data can be processed locally or it can be sent to centralized servers or to the cloud for remote storage and processing. For example, a small device at the size of a matchbox can be used to collect data about the temperature, relative humidity and the atmospheric pressure. This data can be sent and stored in the cloud. Anyone with a mobile device can then access and monitor this data at any time and from anywhere on Earth provided there is Internet connectivity. In addition, users can for example, adjust the central heating remotely using their mobile devices and accessing the cloud. This book is written for students, for practising engineers and for hobbyists who want to learn more about the building blocks of an IoT system and also learn how to setup an IoT system using these blocks. Chapter 1 is an introduction to the IoT systems. In Chapter 2, the basic concepts and possible IoT architectures are discussed. The important parts of any IoT system are the sensors and actuators and they are described briefly in Chapter 3. The devices in an IoT system usually communicate with each other and the important aspect of IoT communication is covered in Chapter 4. Chapter 5 proceeds with the features of some of the commonly used development kits. One of these, the Clicker 2 for PIC18FJ manufactured by mikroElektronika, can be used as a processor in IoT systems and its features are described in detail in Chapter 6. A popular microcontroller C language, mikroC Pro for PIC gets introduced in Chapter 7. Chapter 8 covers the use of a click board with the Clicker 2 for PIC18FJ development kit. Similarly, the use of a sensor click board is described as a project in Chapter 9, and an actuator board in Chapter 10. Chapters 11 and 12 cover Bluetooth and Wi-Fi technologies in microcontroller based systems, and the remaining chapters of the book demo the creation of a simple Wi-Fi based IoT system with cloud-based data storage. This book has been written with the assumption that the reader has taken a course on digital logic design and has been exposed to writing programs using at least one high-level programming language. Knowledge of the C programming language will be very useful. Also, familiarity with at least one member of the PIC series of microcontrollers (e.g. PIC16 or PIC18) will be an advantage. The knowledge of assembly language programming is not required because all the projects in the book are based on using the C language. If you are a total beginner in programming you can still access the e-book, but first you are advised to study introductory books on microcontrollers.

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The Milk-V Duo 256M is an ultra-compact embedded development platform based on the SG2002 chip. It can run Linux and RTOS, providing a reliable, low-cost, and high-performance platform for professionals, industrial ODMs, AIoT enthusiasts, DIY hobbyists, and creators. This board is an upgraded version of Duo with a memory boost to 256M, catering to applications demanding larger memory capacities. The SG2002 elevates computational power to 1.0 TOPS @ INT8. It enables seamless switching between RISC-V/ARM architectures and supports simultaneous operation of dual systems. Additionally, it includes an array of rich GPIO interfaces such as SPI, UART, suitable for a wide range of hardware development in edge intelligent monitoring, including IP cameras, smart peephole locks, visual doorbells, and more. SG2002 is a high-performance, low-power chip designed for various product fields such as edge intelligent surveillance IP cameras, smart door locks, visual doorbells, and home intelligence. It integrates H.264 video compression and decoding, H.265 video compression encoding, and ISP capabilities. It supports multiple image enhancement and correction algorithms such as HDR wide dynamic range, 3D noise reduction, defogging, and lens distortion correction, providing customers with professional-grade video image quality. The chip also incorporates a self-developed TPU, delivering 1.0 TOPS of computing power under 8-bit integer operations. The specially designed TPU scheduling engine efficiently provides high-bandwidth data flow for all tensor processing unit cores. Additionally, it offers users a powerful deep learning model compiler and software SDK development kit. Leading deep learning frameworks like Caffe and Tensorflow can be easily ported to its platform. Furthermore, it includes security boot, secure updates, and encryption, providing a series of security solutions from development, mass production, to product applications. The chip integrates an 8-bit MCU subsystem, replacing the typical external MCU to achieve cost-saving and power efficiency goals. Specifications SoC SG2002 RISC-V CPU C906 @ 1 Ghz + C906 @ 700 MHz Arm CPU 1x Cortex-A53 @ 1 GHz MCU 8051 @ 6 KB SRAM Memory 256 MB SIP DRAM TPU 1.0 TOPS @ INT8 Storage 1x microSD connector or 1x SD NAND on board USB 1x USB-C for power and data, USB Pads available CSI 1x 16P FPC connector (MIPI CSI 2-lane) Sensor Support 5 M @ 30 fps Ethernet 100 Mbps Ethernet with PHY Audio Via GPIO Pads GPIO Up to 26x GPIO Pads Power 5 V/1 A OS Support Linux, RTOS Dimensions 21 x 51 mm Downloads Documentation GitHub

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Specifications CM4 socket Suitable for all variants of Compute Module 4 Networking Gigabit Ethernet RJ45 connectorM.2 M KEY, supports communication modules or NVME SSD Connector Raspberry Pi 40-PIN GPIO header USB 2x USB 2.0 Type A2x USB 2.0 via FFC connector Display MIPI DSI display port (15-pin 1.0 mm FPC connector) Camera 2x MIPI CSI-2 camera port (15-pin 1.0 mm FPC connector) Video 2x HDMI port (including one port via FFC connector), supports 4K 30fps output RTC N/A Storage MicroSD card socket for Compute Module 4 Lite (without eMMC) variants Fan header No fan control, 5 V Power input 5 V Dimensions 85 x 56 mm Included 1x CM4-IO-BASE-A 1x SSD mounting screw Downloads Wiki

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This book details the use of the Arduino Uno and the Raspberry Pi 4 in practical CAN bus based projects. Using either the Arduino Uno or the Raspberry Pi with off-the-shelf CAN bus interface modules considerably ease developing, debugging, and testing CAN bus based projects. This book is written for students, practicing engineers, enthusiasts, and for everyone else wanting to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C and Python programming languages and programming the Arduino Uno using its IDE and Raspberry Pi will be useful, especially if the reader intends to develop microcontroller-based projects using the CAN bus. The book should be a useful source of reference material for anyone interested in finding answers to questions such as: What bus systems are available for the automotive industry? What are the principles of the CAN bus? How can I create a physical CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how dependable is a CAN bus system? What types of CAN bus controllers exist? How do I use the MCP2515 CAN bus controller? How do I create 2-node Arduino Uno-based CAN bus projects? How do I create 3-node Arduino Uno-based CAN bus projects? How do I set the acceptance masks and acceptance filters? How do I analyze data on the CAN bus? How do I create 2-node Raspberry Pi-based CAN bus projects? How do I create 3-node Raspberry Pi-based CAN bus projects?

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This USB Stick contains more than 300 Arduino-related articles published in Elektor Magazine. The content includes both background articles and projects on the following topics: Software & hardware development: Tutorials on Arduino software development using Arduino IDE, Atmel Studio, Shields, and essential programming concepts. Learning: The Microcontroller Bootcamp offers a structured approach to programming embedded systems. Data acquisition & measurement: Projects such as a 16-bit data logger, lathe tachometer, and an AC grid analyzer for capturing and analyzing real-time signals. Wireless communication: Learn how to implement wireless networks, create an Android interface, and communicate effectively with microcontrollers. Robotics and automation: This covers the Arduino Nano Robot Controller, supporting boards for automation, and explores various Arduino shields to enhance functionality. Self-build projects: Unique projects such as laser projection, Numitron clock and thermometer, ELF receiver, Theremino, and touch LED interfaces highlight creative applications. Whether you're a beginner or an experienced maker, this collection is a valuable resource for learning, experimenting, and pushing the boundaries of Arduino technology.

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Programming and Projects for the Minima and WiFi Based on the low-cost 8-bit ATmega328P processor, the Arduino Uno R3 board is likely to score as the most popular Arduino family member, and this workhorse has been with us for many years. Eleven years later, the long-overdue successor, the Arduino Uno R4, was released. It is built around a 48 MHz, 32-bit Arm Cortex-M4 microcontroller and provides significantly expanded SRAM and Flash memory. Additionally, a higher-precision ADC and a new DAC are added to the design. The Uno R4 board also supports the CAN Bus with an interface. Two versions of the board are available: Uno R4 Minima, and Uno R4 WiFi. This book is about using these new boards to develop many different and interesting projects with just a handful of parts and external modules. All projects described in the book have been fully tested on the Uno R4 Minima or the Uno R4 WiFi board, as appropriate. The project topics include the reading, control, and driving of many components and modules in the kit as well as on the relevant Uno R4 board, including LEDs 7-segment displays (using timer interrupts) LCDs Sensors RFID Reader 4x4 Keypad Real-time clock (RTC) Joystick 8×8 LED matrix Motors DAC (Digital-to-analog converter) LED matrix WiFi connectivity Serial UART CAN bus Infrared controller and receiver Simulators … all in creative and educational ways with the project operation and associated software explained in great detail.

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An 8-in-1 test & measurement instrument for the electronics workbench A well-equipped electronics lab is crammed with power supplies, measuring devices, test equipment and signal generators. Wouldn‘t it be better to have one compact device for almost all tasks? Based on the Arduino, a PC interface is to be developed that’s as versatile as possible for measurement and control. It simply hangs on a USB cable and – depending on the software – forms the measuring head of a digital voltmeter or PC oscilloscope, a signal generator, an adjustable voltage source, a frequency counter, an ohmmeter, a capacitance meter, a characteristic curve recorder, and much more. The circuits and methods collected here are not only relevant for exactly these tasks in the "MSR" electronics lab, but many details can also be used within completely different contexts. Errata/Updates In the programs printed, all instances of “be()” should read: sei().

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A Practical Guide to AI, Python, and Hardware Projects Welcome to your BeagleY-AI journey! This compact, powerful, and affordable single-board computer is perfect for developers and hobbyists. With its dedicated 4 TOPS AI co-processor and a 1.4 GHz Quad-core Cortex-A53 CPU, the BeagleY-AI is equipped to handle both AI applications and real-time I/O tasks. Powered by the Texas Instruments AM67A processor, it offers DSPs, a 3D graphics unit, and video accelerators. Inside this handbook, you‘ll find over 50 hands-on projects that cover a wide range of topics—from basic circuits with LEDs and sensors to an AI-driven project. Each project is written in Python 3 and includes detailed explanations and full program listings to guide you. Whether you‘re a beginner or more advanced, you can follow these projects as they are or modify them to fit your own creative ideas. Here’s a glimpse of some exciting projects included in this handbook: Morse Code Exerciser with LED or BuzzerType a message and watch it come to life as an LED or buzzer translates your text into Morse code. Ultrasonic Distance MeasurementUse an ultrasonic sensor to measure distances and display the result in real time. Environmental Data Display & VisualizationCollect temperature, pressure, and humidity readings from the BME280 sensor, and display or plot them on a graphical interface. SPI – Voltmeter with ADCLearn how to measure voltage using an external ADC and display the results on your BeagleY-AI. GPS Coordinates DisplayTrack your location with a GPS module and view geographic coordinates on your screen. BeagleY-AI and Raspberry Pi 4 CommunicationDiscover how to make your BeagleY-AI and Raspberry Pi communicate over a serial link and exchange data. AI-Driven Object Detection with TensorFlow LiteSet up and run an object detection model using TensorFlow Lite on the BeagleY-AI platform, with complete hardware and software details provided.

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Over 45 Builds for the Legendary 555 Chip (and the 556, 558) The 555 timer IC, originally introduced by the Signetics Corporation around 1971, is sure to rank high among the most popular analog integrated circuits ever produced. Originally called the IC Time Machine, this chip has been used in many timer-related projects by countless people over decades. This book is all about designing projects based on the 555 timer IC. Over 45 fully tested and documented projects are presented. All projects have been fully tested by the author by constructing them individually on a breadboard. You are not expected to have any programming experiences for constructing or using the projects given in the book. However, it’s definitely useful to have some knowledge of basic electronics and the use of a breadboard for constructing and testing electronic circuits. Some of the projects in the book are: Alternately Flashing Two LEDs Changing LED Flashing Rate Touch Sensor On/Off Switch Switch On/Off Delay Light-Dependent Sound Dark/Light Switch Tone Burst Generator Long Duration Timer Chasing LEDs LED Roulette Game Traffic Lights Continuity Tester Electronic Lock Switch Contact Debouncing Toy Electronic Organ Multiple Sensor Alarm System Metronome Voltage Multipliers Electronic Dice 7-Segment Display Counter Motor Control 7-Segment Display Dice Electronic Siren Various Other Projects The projects given in the book can be modified or expanded by you for your very own applications. Electronic engineering students, people engaged in designing small electronic circuits, and electronic hobbyists should find the projects in the book instructive, fun, interesting, and useful.

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