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Vom Messwert zur stabilen Entscheidung Wie wird aus einem einfachen Mikrocontroller ein intelligentes System, das Sensorwerte erfasst, verarbeitet und sinnvoll darauf reagiert? Dieses Buch zeigt es Ihnen Schritt für Schritt – verständlich, praxisnah und ohne unnötige Vorkenntnisse. Sie beginnen mit den Grundlagen der digitalen und analogen Ein- und Ausgänge. Anschließend lernen Sie, wie Sensorwerte gelesen, geglättet und zuverlässig bewertet werden. Anschauliche Beispiele erklären, warum einzelne Messwerte oft täuschen können und wie Mittelwertbildung, Hysterese und einfache Entscheidungsregeln für stabile Ergebnisse sorgen. Nach und nach erweitern Sie Ihre Projekte um Displays, I²C-Kommunikation und mehrere vernetzte Mikrocontroller. So entstehen verteilte Systeme, in denen Raspberry Pi Pico und ATtiny-Controller Daten austauschen und gemeinsam Aufgaben übernehmen. Im fortgeschrittenen Teil erhalten Sie einen leicht verständlichen Einstieg in Merkmalsbildung, Datenvorverarbeitung, hybride Entscheidungsmodelle und TinyML-nahe Anwendungen. Dabei verbinden Sie klassische Regelungstechnik mit modernen datenbasierten Methoden. Alle Projekte werden von ausführlich kommentierten Programmen in C und MicroPython begleitet. Das Buch richtet sich an Einsteiger, Maker, Studierende und alle, die Embedded-Systeme von Grund auf verstehen möchten. Am Ende können Sie eigene Systeme entwickeln, die nicht nur messen, sondern Informationen auswerten, zuverlässige Entscheidungen treffen und gezielt reagieren.

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35 Projects for Beginners This book is for hobbyists, students and engineers who want to learn C and how to use an mbed ARM microcontroller in an easy and fun way, without the need for cumbersome software installations. ARM mbed microcontroller NXP LPC1768 The projects in this book are meant for beginners in C and ARM microcontrollers. That doesn't mean the projects are simple, but it does mean that they are easy to understand. We use for example USB communications, a subject that is made so easy by the mbed that it is suitable for a beginners book. Cloud technology The mbed NXP LPC1768 uses cloud technology, a revolutionary concept in software development. This means you do not need to install software on your PC in order to program the mbed! The only thing you need is a browser such as Microsoft Internet Explorer, and a USB port on your PC. You can get access to your project from any PC anywhere in the world and continue working on it. When you are done a few simple mouse clicks transfer the program to your mbed hardware. Of course you can optionally download the projects and store them on your own PC. Features of this Book Learn how to program an mbed ARM microcontroller using cloud technology. No complicated software installation on your PC needed. Learn programming in C by doing fun and interesting projects. No previous experience or knowledge required. Examples of projects in this book: flashing light, timer, light activated switch, digital thermometer, people detector, USB communication, talking microcontroller, debugging, sound switch, and much more - 35 projects in total. Examples of C subjects in this book: variables, commands, functions, program execution, pointers (introduction).

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STmicroelectronics’ wireless IoT & wearable sensor development kit ‘SensorTile.box’ is a portable multi-sensor circuit board housed in a plastic box and developed by STMicroelectronics. It is equipped with a high-performance 32-bit ARM Cortex-M4 processor with DSP and FPU, and various sensor modules, such as accelerometer, gyroscope, temperature sensor, humidity sensor, atmospheric pressure sensor, microphone, and so on. SensorTile.box is ready to use with wireless IoT and Bluetooth connectivity that can easily be used with an iOS or Android compatible smartphone, regardless of the level of expertise of the users. SensorTile.box is shipped with a long-life battery and all the user has to do is connect the battery to the circuit to start using the box. The SensorTile.box can be operated in three modes: Basic mode, Expert mode, and Pro mode. Basic mode is the easiest way of using the box since it is pre-loaded with demo apps and all the user has to do is choose the required apps and display or plot the measured data on a smartphone using an app called STE BLE Sensor. In Expert mode users can develop simple apps using a graphical wizard provided with the STE BLE Sensor. Pro mode is the most complex mode allowing users to develop programs and upload them to the SensorTile.box. This book is an introduction to the SensorTile.box and includes the following: Brief specifications of the SensorTile.box; description of how to install the STE BLE Sensor app on an iOS or Android compatible smartphone required to communicate with the box. Operation of the SensorTile.box in Basic mode is described in detail by going through all of the pre-loaded demo apps, explaining how to run these apps through a smartphone. An introduction to the Expert mode with many example apps developed and explained in detail enabling users to develop their own apps in this mode. Again, the STE BLE Sensor app is used on the smartphone to communicate with the SensorTile.box and to run the developed apps. The book then describes in detail how to upload the sensor data to the cloud. This is an important topic since it allows the sensor measurements to be accessed from anywhere with an Internet connection, at any time. Finally, Pro mode is described in detail where more experienced people can use the SensorTile.box to develop, debug, and test their own apps using the STM32 open development environment (STM32 ODE). The Chapter explains how to upload the developed firmware to the SensorTile.box using several methods. Additionally, the installation and use of the Unicleo-GUI package is described with reference to the SensorTile.box. This PC software package enables all of the SensorTile.box sensor measurements to be displayed or plotted in real time on the PC.

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This bundle includes the Arduino UNO Q (2 GB) and the book "Arduino UNO Q and AI". The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board. Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use. Simply connect your peripherals and get started – no extra hardware required. Features Dual-core architecture: Linux MPU + real-time MCU Qualcomm Dragonwing QRB2210 with Debian Linux support STM32U585 microcontroller for deterministic control Runs Arduino sketches via Zephyr OS Ideal for AI, IoT, robotics, and industrial projects Specifications Microprocessor (MPU) Qualcomm Dragonwing QRB2210:Quad-core Arm Cortex-A53 @ 2.0 GHzAdreno GPU 3D graphics accelerator2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps Microcontroller (MCU) STM32U585Arm Cortex-M33 up to 160 MHz2 MB flash memory786 KB SRAM RAM 2 GB LPDDR4 Power Supply From USB-C connector 5 V max at 3 AInput Voltage (VIN): 7-24 V Storage 16 GB eMMC USB 1× USB-C port with host/device role switching, power role switch and video output Connectivity Wi-Fi 5 (2.4/5 GHz) with onboard antennaBluetooth 5.1 with onboard antenna Interfaces I²C/I³CSPIPWMCANUARTPSSIGPIOJTAGADC Video Video output support via USB-CMIPI DSI pins on JMEDIA header Extra 4× RGB user-controllable LEDs8×13 Blue LED Matrix1× Qwiic connector voltage 3V3, I²C1× User push-buttonJCTL: MPU Remote Debug connector Audio Microphone IN / Headphone OUT / Line OUT on JMISC MPU Operating System Linux Debian OS with upstream support Real-time Operating System Arduino Core on Zephyr OS Containerization Docker and Docker Compose support Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)macOS: macOS 11 or later (64-bit)Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit) Dimensions 68.85 × 53.34 mm (UNO form factor) Downloads Datasheet User Manual Pinout Schematics Book: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development. This bundle contains: Arduino UNO Q (2 GB) (normal price: €50) Book: Arduino UNO Q and AI (normal price: €35)

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This complete Raspberry Pi Pico microcontroller programming course features a textbook, a component kit, hands-on projects, and a comprehensive online course with simulations. It is ideal for step-by-step learning of embedded systems programming with Arduino using a practical, hands-on approach. A Practical Introduction to Embedded Systems with the Raspberry Pi Pico This course is designed for people who are new to embedded systems and looking for a structured, example-driven way to get started. A kit of parts comprising LEDs and resistors, switches, sensors and actuators, displays, a breadboard and wires, and more is included. These are used in the course to illustrate example applications. No prior experience with Arduino or embedded development is required. Each section features hands-on examples and mini projects designed to reinforce key concepts and inspire deeper exploration. By the end of the course, you’ll be able not only to reproduce the examples but also to build on them with your own ideas and applications. What Will You Learn? Microcontroller programming in C/C++ with the Raspberry Pi Pico using the Arduino IDE Working with Digital I/O, read buttons and encoders, control LEDs and relays Read analog inputs, voltages, and analog sensors Generating analog output signals and PWM Use serial communication like UART, I²C and SPI to control displays and read digital sensors and SD cards Managing time Working with interrupts Real-time sensor input and control via buttons, LEDs, and displays Control actuators like relays and servo motors Who Is It For? Students and self-learners exploring embedded systems Makers and IoT enthusiasts looking to improve their hardware skills Educators and trainers seeking ready-to-teach material What's Inside the Box? Access to the full course on the Elektor Academy Pro Learning Platform Raspberry Pi Pico microcontroller board + USB cable Book: Programming Microcontrollers in C/C++ Using Arduino Downloadable project files for every module Component Box: 2× LED, red, 5 mm LED, green, 5 mm 3× Resistor, 470 Ω, 0.25 W LDR Potentiometer, 10 kΩ, linear Pushbutton Rotary encoder module Relay module DHT22 Humidity & Temperature Sensor TM1637-compatible 4-digit 7-segment display MPU-6050 IMU with headers SSD1306-compatible I²C OLED display Micro SD card adapter with header Buzzer SG90 Micro Servo ILI9341-compatible SPI 240×320 TFT display 20× Jumper wires Breadboard All Programming Courses (and differences in content) Course Arduino Raspberry Pi Pico with Arduino C/C++ ESP32 with Arduino C/C++ Raspberry Pi Pico with MicroPython ESP32 with MicroPython Online Course Access to Arduino Course Access to Pico with Arduino C/C++ Course Access to ESP32 with Arduino C/C++ Course Access to Pico with MicroPython Course Access to ESP32 with MicroPython Course Board Uno R3 Raspberry Pi Pico ESP32 Raspberry Pi Pico ESP32 Book Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in MicroPython Programming Microcontrollers in MicroPython Kit 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box

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This complete ESP32 microcontroller programming course features a textbook, a component kit, hands-on projects, and a comprehensive online course with simulations. It is ideal for step-by-step learning of embedded systems programming with Arduino using a practical, hands-on approach. A Practical Introduction to Embedded Systems with the ESP32 This course is designed for people who are new to embedded systems and looking for a structured, example-driven way to get started. A kit of parts comprising LEDs and resistors, switches, sensors and actuators, displays, a breadboard and wires, and more is included. These are used in the course to illustrate example applications. No prior experience with Arduino or embedded development is required. Each section features hands-on examples and mini projects designed to reinforce key concepts and inspire deeper exploration. By the end of the course, you’ll be able not only to reproduce the examples but also to build on them with your own ideas and applications. What Will You Learn? Microcontroller programming with the ESP32 using the Arduino IDE Working with Digital I/O, read buttons and encoders, control LEDs and relays Read analog inputs, voltages, and analog sensors Generating analog output signals and PWM Use serial communication like UART, I²C and SPI to control displays and read digital sensors and SD cards Managing time Working with interrupts Real-time sensor input and control via buttons, LEDs, and displays Control actuators like relays and servo motors Who Is It For? Students and self-learners exploring embedded systems Makers and IoT enthusiasts looking to improve their hardware skills Educators and trainers seeking ready-to-teach material What's Inside the Box? Access to the full course on the Elektor Academy Pro Learning Platform ESP32 microcontroller board + USB cable Book: Programming Microcontrollers in C/C++ Using Arduino Downloadable project files for every module Component Box: 2× LED, red, 5 mm LED, green, 5 mm 3× Resistor, 470 Ω, 0.25 W LDR Potentiometer, 10 kΩ, linear Pushbutton Rotary encoder module Relay module DHT22 Humidity & Temperature Sensor TM1637-compatible 4-digit 7-segment display MPU-6050 IMU with headers SSD1306-compatible I²C OLED display Micro SD card adapter with header Buzzer SG90 Micro Servo ILI9341-compatible SPI 240×320 TFT display 20× Jumper wires Breadboard All Programming Courses (and differences in content) Course Arduino Raspberry Pi Pico with Arduino C/C++ ESP32 with Arduino C/C++ Raspberry Pi Pico with MicroPython ESP32 with MicroPython Online Course Access to Arduino Course Access to Pico with Arduino C/C++ Course Access to ESP32 with Arduino C/C++ Course Access to Pico with MicroPython Course Access to ESP32 with MicroPython Course Board Uno R3 Raspberry Pi Pico ESP32 Raspberry Pi Pico ESP32 Book Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in MicroPython Programming Microcontrollers in MicroPython Kit 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box

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Projects Using Arduino IDE and the LVGL Graphics Library The ESP32 is probably one of the most popular microcontrollers used by many people, including students, hobbyists, and professional engineers. Its low cost, coupled with rich features makes it a popular device to use in many projects. Recently, a board called the ESP32 Cheap Yellow Display (CYD for short) is available from its manufacturers. The board includes a standard ESP32 microcontroller together with a 320x240 pixel TFT display. Additionally, the board provides several connectors for interfaces such as GPIO, serial port (TX/RX), power and Ground. The inclusion of a TFT display is a real advantage as it enables users to design complex graphics-based projects without resorting to an external LCD or graphics displays. The book describes the basic hardware of the ESP32 CYD board and provides details of its on-board connectors. Many basic, simple, and intermediate-level projects are given in the book based on the ESP32 CYD, using the highly popular Arduino IDE 2.0 integrated development environment. The use of both the basic graphics functions and the use of the popular LVGL graphics library are discussed in the book and projects are given that use both types of approaches. All the projects given in the book have been tested and are working. The block diagram, circuit diagram, and the complete program listings and program descriptions of all the projects are given with explanations. Readers can use the LVGL graphics library to design highly popular eye-catching full-color graphics projects using widgets such as buttons, labels, calendars, keypads, keyboards, message boxes, spinboxes, sliders, charts, tables, menus, bars, switches, drop-down lists, animations, and many more widgets.

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Specifications Dual ARM Cortex-M0+ @ 133 MHz 264 kB on-chip SRAM in six independent banks Support for up to 16 MB of off-chip Flash memory via dedicated QSPI bus DMA controller Fully-connected AHB crossbar Interpolator and integer divider peripherals On-chip programmable LDO to generate core voltage 2x on-chip PLLs to generate USB and core clocks 30x GPIO pins, 4 of which can be used as analogue inputs Peripherals 2x UARTs 2x SPI controllers 2x I²C controllers 16x PWM channels USB 1.1 controller and PHY, with host and device support 8x PIO state machines What you'll get 10x bare RP2040 chips

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Book: Mastering the Arduino Uno R4 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. Arduino Uno R4 WiFi The Arduino Uno R4 is powered by the Renesas RA4M1 32-bit ARM Cortex-M4 processor, providing a significant boost in processing power, memory, and functionality. The WiFi version comes with an ESP32-S3 WiFi module in addition to the RA4M1, expanding creative opportunities for makers and engineers. The Arduino Uno R4 runs at 48 MHz, which provides a 3x increase over the popular Uno R3. Additionally, SRAM has been upgraded from 2 kB to 32 kB, and flash memory from 32 kB to 256 kB to support more complex projects. Responding to community feedback, the USB port is now USB-C, and the maximum power supply voltage has been raised to 24 V with an enhanced thermal design. The board includes a CAN bus and an SPI port, enabling users to reduce wiring and perform parallel tasks by connecting multiple shields. A 12-bit analog DAC is also provided on the board. Specifications Microcontroller Renesas RA4M1 (ARM Cortex-M4) USB USB-C Programming Port Pins Digital I/O Pins 14 Pins Analog input pins 6 DAC 1 RTC 1 PWM pins 6 Communication UART 1x I²C 1x SPI 1x Qwiic I²C connector 1x CAN 1x CAN Bus Power Circuit operating voltage 5 V Input voltage (VIN) 6-24 V DC Current per I/O Pin 8 mA Clock speed Main core 48 MHz Memory RA4M1 256 kB Flash, 32 kB RAM LED Matrix 12 x 8 (96 red LEDs) Dimensions 68.9 x 53.4 mm Downloads Datasheet Schematics This bundle contains: Book: Mastering the Arduino Uno R4 (normal price: €45) Arduino Uno R4 WiFi (normal price: €30)

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This book contains 50 fun and exciting projects for PIC microcontrollers such as a laser alarm, USB teasing mouse, eggtimer, youth repellent, soundswitch, capacitive liquid level gauge, 'finger in the water' sensor, guarding a room using a camera, mains light dimmer (110-240 volts), talking microcontroller and much more. Several different techniques are discussed such as relay, alternating current control including mains, I²C, SPI, RS232, USB, pulse width modulation, rotary encoder, interrupts, infrared, analog-digital conversion (and the other way around), 7-segment display and even CAN bus. You can use this book to build the projects for your own use. The clear explanations, schematics and even pictures of each project make this a fun activity. For each project the theory is discussed and why the project has been executed in that particular way. That means you can also use this book as a studybook, or as basis for larger and more complicated projects. All projects use a breadboard so modification and expansion is easy. Three PIC microcontrollers are used, the 16f877A, 18f4455 and 18f4685. It is also discussed how you can migrate your project from one microcontroller to another – 15 types are supported - including two example projects. All software that is used in this book can be downloaded for free. That also applies to the open source programming language JAL. This powerful and yet easy to learn language is used by hobbyists as well as professionals. This book can also be used as a reference guide. It explains all JAL commands, as well as the expansion libraries. Using the index you can easily find example projects that illustrate the use of these commands. Even when you have built all projects in this book you will still want to keep it within arm's reach.

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Clever Tricks with ATmega328 Pro Mini Boards With a simple Pro Mini board and a few other components, projects that 20 or 30 years ago were unthinkable (or would have cost a small fortune) are realized easily and affordably in this book: From simple LED effects to a full battery charging and testing station that will put a rechargeable through its paces, there’s something for everyone. All the projects are based on the ATmega328 microcontroller, which offers endless measuring, switching, and control options with its 20 input and output lines. For example, with a 7-segment display and a few resistors, you can build a voltmeter or an NTC-based thermometer. The Arduino platform offers the perfect development environment for programming this range of boards. Besides these very practical projects, the book also provides the necessary knowledge for you to create projects based on your own ideas. How to measure, and what? Which transistor is suitable for switching a certain load? When is it better to use an IC? How do you switch mains voltage? Even LilyPad-based battery-operated projects are discussed in detail, as well as many different motors, from simple DC motors to stepper motors. Sensors are another exciting topic: For example, a simple infrared receiver that can give disused remote controls a new lease on life controlling your home, and a tiny component that can actually measure the difference in air pressure between floor and table height!

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This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (300 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

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