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If you can describe it, you can build it AI coding assistants are changing what makers and solopreneurs can build. Tasks that once demanded weeks of learning a new language, framework, or software stack can now be delegated to an AI—provided you know how to describe the job, judge the result, and keep control of the process. The Maker’s Guide to AI Coding is a practical guide to doing exactly that. It explains how to work with AI coding tools as collaborators rather than vending machines, how much to delegate, how to write specifications that produce useful results, and how to recognise hallucinations, context drift, overconfidence, and code that runs but is still wrong. The book is built around four increasingly ambitious projects. You begin with a browser-based RC filter analyser, then develop a live serial data plotter for Arduino and other microcontrollers. Next comes a datasheet questionand- answer tool using retrieval-augmented generation (RAG), followed by a complete multi-user resource booking system with authentication, a database, external services, background jobs, and deployment. No advanced programming background is required. The emphasis is on thinking clearly, guiding the AI, testing what it produces, and preserving the skills needed to evaluate its work. Along the way, you learn development workflow designed to remain useful as tools evolve. If you can describe what you want to build, this book shows you how to turn that description into working software.

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Learning Embedded Systems with STM32 Nucleo Boards Programming compact electronic systems is now easier to get started with than ever before. Affordable development boards, powerful software tools, and readily available documentation make it possible to turn an idea into a working prototype in very little time. MicroPython plays an important role in this development by offering a readable, interactive way to control microcontrollers while still providing direct access to their hardware features. This book explores embedded programming with MicroPython using an STM32-based Nucleo board. It shows how a microcontroller continuously interacts with its environment by reading inputs, processing information, and controlling outputs. Step by step, you will learn to flash LEDs, measure analog signals, work with sensors, control actuators, and exchange data with other devices. The built-in REPL makes it easy to test instructions immediately, inspect results, and learn through experimentation. Although microcontroller boards differ in size, speed, memory, and peripherals, the fundamental concepts remain largely the same. Digital input and output, analog conversion, timers, PWM, interrupts, and serial communication are the essential building blocks of embedded applications. By concentrating on these transferable principles, the book provides a foundation that remains useful when moving to other boards, processors, or development environments. It is intended both for newcomers and for programmers who want to expand into embedded systems. MicroPython offers a practical route into this field, combining quick results with a clear understanding of how software and hardware work together.

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Practical Multitasking Fundamentals Programming embedded systems is difficult because of resource constraints and limited debugging facilities. Why develop your own Real-Time Operating System (RTOS) as well as your application when the proven FreeRTOS software is freely available? Why not start with a validated foundation? Every software developer knows that you must divide a difficult problem into smaller ones to conquer it. Using separate preemptive tasks and FreeRTOS communication mechanisms, a clean separation of functions is achieved within the entire application. This results in safe and maintainable designs. Practicing engineers and students alike can use this book and the ESP32 Arduino environment to wade into FreeRTOS concepts at a comfortable pace. The well-organized text enables you to master each concept before starting the next chapter. Practical breadboard experiments and schematics are included to bring the lessons home. Experience is the best teacher. Each chapter includes exercises to test your knowledge. The coverage of the FreeRTOS Application Programming Interface (API) is complete for the ESP32 Arduino environment. You can apply what you learn to other FreeRTOS environments, including Espressif’s ESP-IDF. The source code is available from GitHub. All of these resources put you in the driver’s seat when it is time to develop your next uber-cool ESP32 project. What you will learn: How preemptive scheduling works within FreeRTOS The Arduino startup “loopTask” Message queues FreeRTOS timers and the IDLE task The semaphore, mutex, and their differences The mailbox and its application Real-time task priorities and its effect Interrupt interaction and use with FreeRTOS Queue sets Notifying tasks with events Event groups Critical sections Task local storage The gatekeeper task

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Praktische Anwendungen und Projekte mit Arduino, ESP32 und RP2040 Tauchen Sie ein in die faszinierende Welt der Regelungstechnik mit Arduino und ESP32! Dieses Buch bietet Ihnen einen praxisnahen Einstieg in die klassischen und modernen Methoden der Regelung, darunter PID-Regler, Fuzzy-Logik und Sliding-Mode-Regler. Im ersten Teil lernen Sie die Grundlagen der beliebten Arduino-Controller, wie den Arduino Uno und den ESP32, sowie die Integration von Sensoren für Temperatur- und pH-Messung (NTC, PT100, PT1000, pH-Sensor). Sie erfahren, wie diese Sensoren in verschiedenen Projekten eingesetzt werden und wie Sie Daten auf einem Nextion TFT-Display visualisieren. Weiter geht es mit der Einführung in Stellglieder wie MOSFET-Schalter, H-Brücken und Solid-State-Relais, die zur Steuerung von Motoren und Aktoren verwendet werden. Sie lernen, Regelstrecken zu analysieren und zu modellieren, einschließlich PT1- und PT2-Regelungen. Der Schwerpunkt des Buches liegt auf der Implementierung von Fuzzy- und PID-Reglern zur Regelung von Temperatur und DC-Motoren. Dabei werden sowohl der Arduino Uno als auch der ESP32 eingesetzt. Zudem wird der Sliding-Mode-Regler vorgestellt. Im vorletzten Kapitel erkunden Sie die Grundlagen neuronaler Netze und lernen, wie maschinelles Lernen auf einem Arduino eingesetzt werden kann. Im letzten Kapitel gibt es noch ein praktisches Beispiel für einen Fuzzy-Regler zur Stromeinspeisung ins Hausnetz. Dieses Buch ist die perfekte Wahl für Ingenieure, Studierende und Elektroniker, die ihre Projekte mit innovativen Regelungstechniken erweitern möchten.

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Practical Applications and Project with Arduino, ESP32, and RP2040 Immerse yourself in the fascinating world of control engineering with Arduino and ESP32! This book offers you a practical introduction to classic and modern control methods, including PID controllers, fuzzy logic, and sliding-mode controllers. In the first part, you will learn the basics of the popular Arduino controllers, such as the Arduino Uno and the ESP32, as well as the integration of sensors for temperature and pH measurement (NTC, PT100, PT1000, and pH sensor). You will learn how to use these sensors in various projects and how to visualize data on a Nextion TFT display. The course continues with an introduction to actuators such as MOSFET switches, H-bridges, and solid-state relays, which are used to control motors and actuators. You will learn to analyze and model controlled systems, including PT1 and PT2 control. The book focuses on the implementation of fuzzy and PID controllers for controlling temperature and DC motors. Both the Arduino Uno and the ESP32 are used. The sliding-mode controller is also introduced. In the second-to-last chapter, you will explore the basics of neural networks and learn how machine learning can be used on an Arduino. In the last chapter, there is a practical example of a fuzzy controller for feeding electricity into the household grid. This book is the perfect choice for engineers, students, and electronics engineers who want to expand their projects with innovative control techniques.

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Elektronik-Praxis für Einsteiger (E-book)

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The DCA75 Pro is a great instrument that combines ease-of-use with amazing features. It can automatically identify a huge range of semiconductors, automatically identify pinouts and measure detailed parameters. Features Built-in graphics display (now backlit) to show detailed schematic of the component you're testing as well as pinout and measurement data USB connectivity to allow curve tracing, data storage/retrieval and device matching on your Windows PC (Windows 7 and higher) Single internal AAA alkaline cell for standalone operation Component Support Bipolar transistors (NPN/PNP inc Silicon/Germanium) Darlington transistors (NPN/PNP) Enhancement mode MOSFETs (N-Ch and P-Ch) Depletion mode MOSFETs (N-Ch and P-Ch) Junction FETs (N-Ch and P-Ch). Both symmetrical and asymmetrical types Enhancement IGBTs (N-Ch and P-Ch) Diodes and diode networks (2 and 3 lead types) Zener diodes (up to about 9 V) Voltage regulators (up to about 8 V) LEDs and bi-colour LEDs (2 lead and 3 lead types) Low power sensitive Triacs and Thyristors (<10 mA trigger and hold) Measurements BJT current gain (hFE) BJT base emitter voltage (Vbe) BJT collector leakage current MOSFET on and off gate threshold voltages MOSFET transconductance JFET pinch-off voltage JFET transconductance JFET IDSS (drain current for Vgs=0) IGBT on and off gate threshold voltages IGBT transconductance Voltage regulator output voltage Voltage regulator quiescent current consumption Voltage regulator drop-out voltage Zener voltage Diode forward voltage drop Specifications Analyzer type Semiconductor components Component detection Automatic Pinout detection Automatic, connect any way round Display type Graphic LCD (now backlit) Interface type USB for optional PC connection PC functions Curve tracing (Windows 7 and higher) Software Included on USB drive for Windows 7 and higher Battery Single AAA cell (supplied) Included Peak Atlas DCA75 Pro PC software on a USB Flash Drive for Windows 11, 10, 8, 7, XP Micro USB cable Fitted universal premium hook probes AAA Alkaline battery Downloads Datasheet (EN) User Guide (EN) User Guide (IT) Software Installation Guide (EN) Software and Firmware Package

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The FNIRSI GC-03 is a multifunctional radiation detector designed for professional nuclear radiation measurement in everyday environments such as the home, office, car, and outdoors. Equipped with a 2.4-inch high-definition color display, it provides real-time monitoring of nuclear radiation as well as electric and magnetic field strength. For added safety, the device features three alarm modes: audible alert, vibration, and visual light warning. Features 3-in-1 Detection: Monitors electric, magnetic, and nuclear radiation with one device. High-Precision GM Tube: Accurately detects gamma, X-rays, and hard beta radiation with low power consumption. Real-Time Curve + 50 Alarm Records: Tracks radiation trends and stores alarm history for easy review. Custom Triple Alarms: Supports visual, audible, and vibration alerts with adjustable thresholds. Long Battery Life: 1500 mAh battery for extended and reliable field use. Specifications Nuclear Radiation Range: 0.01μSv/h-999.99μSv/h Accuracy: 0.01μSv/h Electric Field Range: 1V/m-1999V/m Accuracy: 1V/m Magnetic Field Range: 0.01μT-99.99μT Accuracy: 0.01μT Radiation Power 0.2-1000mW/m² Detection Radiation Type Ionizing radiation (gamma rays, etc.) Detector Energy compensation GM tube (Geiger counter tube) Dose Current Rate 0.00-10000μSv/h (10mSv/h) Cumulative Dose Equivalent 0.00μSv-500.0mSv Energy Range 48keV-1.5MeV ≤ ±30% (for 137Cs-) Sensitivity 80CPM/μSv Dose Unit μSv/h, uGy/h, mR/h, CPS, CPM Alarm Mode Light, vibration, sound Display 2.4-inch color screen Backlight Brightness Adjustable Power Supply USB-C (5 V/1 A) Battery 1500 mAh Languages English, Chinese Dimensions 138 x 63 x 32 mm Weight 141 g Included 1x FNIRSI GC-03 Radiation Detector 1x USB cable 1x Manual Downloads Manual Firmware v1.0.4

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This multi-axis robot perfectly balances power and size. Features 6 Axis Payload: 3.5 kg Reach: 700 mm Repeatability: 0.1 mm Max Speed 1000 mm/s Applications Machine Tending Bin Picking Mobile platform Lab Automation Robotic Research Durable Collaborative robots for your automation Industrial-grade harmonic drive and servomotors guarantee 24/7 working without stop. Crafted from Carbon fiber, 15 kg weight makes it possible for easier deployment. Flexible deployment with safe feature Hand teaching, lightweight, space-saving and easy to re-deploy to multiple applications without changing your production layout. Perfectly for recurrent tasks. Collision detection is available for all of our cobots. Your safety is always the top priority. Graphical interface for beginner-friendly programming Compatible with various of operation systems, including macOS and Windows. Web-based technology compatible with all major browsers. Drag and drop to create your code in minutes. Powerful and open source SDK at your fingertips Fully functional open-source Python/C++ SDK provides more flexible programming. ROS/ROS2 packages are ready-to-go. Example codes help you to deploy the robotic arm smoothly. Specifications UFactory 850 xArm 5 xArm 6 xArm 7 Payload 5 kg 3 kg 5 kg 3.5 kg Reach 850 mm 700 mm 700 mm 700 mm Degrees of freedom 6 5 6 7 Repeatability ±0.02 mm ±0.1 mm ±0.1 mm ±0.1 mm Maximum Speed 1 m/s 1 m/s 1 m/s 1 m/s Weight (robot arm only) 20 kg 11.2 kg 12.2 kg 13.7 kg Maximum Speed 180°/s 180°/s 180°/s 180°/s Joint 1 ±360° ±360° ±360° ±360° Joint 2 -132°～132° -118°～120° -118°～120° -118°～120° Joint 3 -242°~3.5° -225°~11° -225°~11° ±360° Joint 4 ±360° -97°~180° ±360° -11°～225° Joint 5 -124°~124° ±360° -97°~180° ±360° Joint 6 ±360° ±360° -97°~180° Joint 7 ±360° Hardware Ambient Temperature Range 0-50°C Power Consumption Min 8.4 W, Typical 200 W, max 400 W Input Power Supply 24 V DC, 16.5 A Footprint Ø 126 mm Materials Aluminum, Carbon Fiber Base Connector Type M5x5 ISO Class Cleanroom 5 Robot Mounting Any End Effector Communication Protocol Modbus RTU(rs485) End Effector I/O 2x DI/2x DO/2x AI/1x RS485 Communication Mode Ethernet Included 1x xArm 7 robotic arm 1x AC control box 1x Robotic arm power cable 1x Robotic arm end effector adapter cable 1x Robotic arm signal cable 1x Control box power cable 1x Network cable 1x Mounting tool 1x Quick start guide

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The SEQURE T55 Smart Mini Temperature Adjustable Soldering Hot Plate is a compact and efficient tool designed for precise preheating and desoldering tasks. With its adjustable temperature range from 50°C to 280°C (122°F to 536°F), it is suitable for various applications, e.g. cell phone repair, PCB assembly, etc. Features Adjustable heating temperature range: 50°C to 280°C (122°F to 536°F) Equipped with a heat-resistant ceramic temperature sensor, ensuring high-accuracy data measurement under continuous high temperatures. Automatically stops heating after reaching the preset working time. Supports PD, QC, and DC (max 25 V). Intelligent temperature control algorithm for temperature compensation and power adjustment. 128 x 32 resolution OLED display with a built-in buzzer to indicate operating status. °C/°F conversion Specifications Heating Area 55 x 55 mm Working Temperature 50-280°C (122-536°F) Max Voltage 25 V Max Power 95 W Recommend Voltage 19-25 V PD Power Supply PD 20 V ≥3A Power Supply Modes PD, QC, DC Interface USB-C Display 128 x 32 OLED Menu Languages English, Russian, and Chinese Dimensions 55 x 60 x 37 mm Weight 92 g Included 1x SEQURE T55 Smart Mini Soldering Hot Plate 1x PD 65 W Power Supply (EU) 1x Fast Charging Cable (100 W/5 A)

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PIC und AVR verstehen In diesem Buch werden wir uns ausschließlich mit 8-Bit-Mikrocontrollern beschäftigen, und zwar mit Mikrocontrollern der 8-Bit-PIC- und der 8-Bit-AVR-Mikrocontroller-Linien. Bei der PIC-Familie handelt es sich dabei um PIC10, PIC12, PIC16 und PIC18; bei der AVR-Familie um ATtiny, ATmega und ATxmega. Die vorgestellten 8-Bit-Chips sind für sehr viele Anwendungen vollkommen ausreichend und preislich auch attraktiv. Durch die Lektüre des Buches erhalten Sie ein fundiertes Wissen über die genannten 8-Bit-Mikrocontroller, über ihre Architektur, ihre Pinbelegungen und über ihre Programmierung. Weil wir uns in diesem Buch mit den Grundlagen der Architektur der PICs und AVRs vertraut machen möchten, werden wir auch für alle PIC- und AVR-Anwendungen Assembler einsetzen, denn die Assembler-Sprache erlaubt es, die Technik im Detail kennenzulernen. Wenn man wirklich wissen möchte, was sich im Mikrocontroller abspielt, greift man zu Assembler. Damit hat man die beste Gelegenheit, sehr nah an den Kern zu kommen. Und wenn man schon einen Mikrocontroller-Typ kennengelernt und verstanden hat, ist es bei dem nächsten deutlich einfacher, auch wenn er von einem anderen Hersteller kommt. Bei anderen Programmiersprachen bleibt die Technik immer ziemlich tief versteckt. Die Assembler-Beispiele sind so einfach gestaltet, dass sie jeder mit den im Buch aufgezeigten Programmiertechniken erstellen kann. Weil es sich um einfache Beispiele handelt, werden wir sie alle auf einer universellen Lochrasterplatine realisieren. Manche sind auch auf einem Experimentier-Breadboard umsetzbar.

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Vollständig aktualisiert für Raspberry Pi 5 Raspberry Pi ist ein kleiner, cleverer, in Großbritannien hergestellter Computer, der voller Potenzial steckt. Der Raspberry Pi basiert auf einem energieeffizienten Prozessor der Desktop-Klasse und soll Ihnen dabei helfen, das Programmieren zu erlernen, herauszufinden, wie Computer funktionieren, und Ihre eigenen erstaunlichen Dinge zu bauen. Dieses Buch wurde geschrieben, um Ihnen zu zeigen, wie einfach der Einstieg ist. Lernen Sie, wie Sie: Richten Sie Ihren Raspberry Pi ein, installieren Sie sein Betriebssystem und beginnen Sie mit der Nutzung dieses voll funktionsfähigen Computers. Starten Sie Codierungsprojekte mit Schritt-für-Schritt-Anleitungen für die Programmiersprachen Scratch 3, Python und MicroPython. Experimentieren Sie mit der Verbindung elektronischer Komponenten und haben Sie Spaß beim Erstellen erstaunlicher Projekte. Neu in der 5. Auflage: Aktualisiert für die neuesten Raspberry Pi-Computer: Raspberry Pi 5 und Raspberry Pi Zero 2 W. Deckt das neueste Raspberry Pi OS ab. Enthält ein neues Kapitel über den Raspberry Pi Pico. Downloads GitHub

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