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Program, build, and master over 60 projects with Python The Raspberry Pi 5 is the latest single-board computer from the Raspberry Pi Foundation. It can be used in many applications, such as in audio and video media centers, as a desktop computer, in industrial controllers, robotics, and in many domestic and commercial applications. In addition to the well-established features found in other Raspberry Pi computers, the Raspberry Pi 5 offers Wi-Fi and Bluetooth (classic and BLE), which makes it a perfect match for IoT as well as in remote and Internet-based control and monitoring applications. It is now possible to develop many real-time projects such as audio digital signal processing, real-time digital filtering, real-time digital control and monitoring, and many other real-time operations using this tiny powerhouse. The book starts with an introduction to the Raspberry Pi 5 computer and covers the important topics of accessing the computer locally and remotely. Use of the console language commands as well as accessing and using the desktop GUI are described with working examples. The remaining parts of the book cover many Raspberry Pi 5-based hardware projects using components and devices such as LEDs and buzzers LCDs Ultrasonic sensors Temperature and atmospheric pressure sensors The Sense HAT Camera modules Example projects are given using Wi-Fi and Bluetooth modules to send and receive data from smartphones and PCs, and sending real-time temperature and atmospheric pressure data to the cloud. All projects given in the book have been fully tested for correct operation. Only basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full Python program listings are given for all projects described.

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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Cool Projects for Test, Measurement, and Control The Raspberry Pi has dominated the maker scene for many years. Freely accessible I/O pins have made it one of the most popular processor boards of all time. However, the classic Raspberry Pi has no analog inputs. Direct measurement of analog values is therefore not possible. Consequently, photodiodes, NTCs, Hall sensors, etc. cannot be read directly. In addition, the pins are connected directly to the exposed contacts, i.e. without a driver or protection circuit. This can quickly destroy the central controller and thus the entire Raspberry Pi. These problems can be elegantly solved with the Pico. As a front-end, it can easily handle a wide range of measurement tasks. In addition, the Pico is much cheaper than a classic Raspberry Pi 4 or 5. If a faulty circuit leads to the destruction of the Pico, this is relatively easy to handle. This makes the combination of a classic Raspberry Pi 4 or 5 and the Pico an ideal pair. The book introduces the broad and highly topical field of modern controller technology using the combined force of a Raspberry Pi 4 or 5 and a Raspberry Pi Pico. In addition to a detailed introduction to the operation and functionality of the controller boards themselves, the book also focuses on data acquisition and processing with digital processors. Especially the combination of both systems offers a wide range of interesting possibilities. Some practical projects from the contents: USB between Raspberry Pi 4 or 5 and Pico I²C Communication and Pico as an I²C device Voltmeter and Computer Thermometer Pico W as a Web Server and WLAN Scanner Frequency Meters and Generators OLED Displays on Raspberry Pi 4 or 5 and Pico Energy Saving Monitor Which Astronauts are in Orbit? Mini Monitor for Current Bitcoin Exchange Rate

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Build Your Own Vintage Radio Broadcaster The Elektor AM Transmitter Kit allows streaming audio to vintage AM radio receivers. Based on a Raspberry Pi Pico microcontroller module, the AM Transmitter can transmit on 32 frequencies in the AM band, from 500 kHz up to 1.6 MHz in 32 steps of approx. 35 kHz. The frequency is selected with a potentiometer and shown on a 0.96" OLED display. A pushbutton allows toggles the transmitting mode between On and Off. The range of the transmitter depends on the antenna. The onboard antenna provides a range of a few centimeters, requiring the AM Transmitter to be placed close to or inside the radio. An external loop antenna (not included) can be connected to increase the range. The Elektor AM Transmitter Kit comes as a kit of parts that you must solder to the board yourself. Features The board is compatible with a Hammond 1593N enclosure (not included).A 5 VDC power supply with micro-USB connector (e.g., an old phone charger) is needed to power the kit (not included). Current consumption is 100 mA. The Arduino software (requiring Earle Philhower’s RP2040 Boards Package) for the Elektor AM Transmitter Kit plus more information is available at the Elektor Labs page of this project. Component List Resistors R1, R4 = 100 Ω R2, R3, R8 = 10 kΩ R5, R6, R9, R10, R11 = 1 kΩ R7 = optional (not included) P1 = potentiometer 100 kΩ, linear Capacitors C1 = 22 µF 16V C2, C4 = 10 nF C3 = 150 pF Miscellaneous K1 = 4×1 pin socket K2, K3 = 3.5 mm socket Raspberry Pi Pico pushbutton, angle mount 0.96" monochrome I²C OLED display PCB 150292-1

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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 in MicroPython 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 MicroPython with the Raspberry Pi Pico using the Thonny 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 MicroPython 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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Arduino-compatible, ESP32-controlled, 2-wheeled Balancing Robot The Elektor Mini-Wheelie is an experimental autonomous self-balancing robot platform. Based on an ESP32-S3 microcontroller, the self-balancing robot is fully programmable using the Arduino environment and open-source libraries. Its wireless capabilities allow it to be controlled remotely over Wi-Fi, Bluetooth or ESP-NOW or to communicate with a user or even another robot. An ultrasonic transducer is available for detecting obstacles. Its color display can be used for displaying cute facial expressions or, for the more down-to-earth users, cryptic debug messages. The robot comes as a neat kit of parts that you must assemble yourself. Everything is included, even a screwdriver. Note: The Mini-Wheelie is an educational development platform intended for learning, experimentation, and robotics development. It is not classified as a toy for children, and its features, documentation, and intended audience reflect this purpose. The product is aimed at students, educators, and developers who wish to explore robotics, programming, and hardware integration in an educational setting. Specifications ESP32-S3 microcontroller with Wi-Fi and Bluetooth MPU6050 6-axis Inertial Measurement Unit (IMU) Two independently controlled 12 V electric motors with tachometer Ultrasonic transducer 2.9" TFT color display (320 x 240) MicroSD card slot Battery power monitor 3S rechargeable Li-Po battery (11.1 V/2200 mAh) Battery charger included Arduino-based open-source software Dimensions (W x L x H): 23 x 8 x 13 cm Included 1x ESP32-S3 Mainboard + MPU6050 module 1x LCD board (2.9 inch) 1x Ultrasonic sensor 1x Battery pack (2200 mAh) 1x Battery charger 1x Motor tyre kit 1x Case board 1x Acrylic board 1x Screwdriver 1x Protective strip 1x Flex cable B (8 cm) 1x Flex cable A (12 cm) 1x Flex cable C 4x Copper column A (25 mm) 4x Copper column B (55 mm) 4x Copper column C (5 mm) 2x Plastic nylon column 8x Screws A (10 mm) 24x Screws B (M3x5) 8x Nuts 24x Metal washers 2x Zip tie 1x MicroSD card (32 GB) Downloads Documentation

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Discover endless creativity with the Universal Maker Sensor Kit, designed for use with Raspberry Pi, Pico W, Arduino, and ESP32. This versatile kit offers compatibility across popular development platforms, including Arduino Uno R4 Minima/WiFi, Uno R3, Mega 2560, Raspberry Pi 5, 4, 3B+, 3B, Zero, Pico W, and ESP32. Featuring over 35 sensors, actuators, and displays, it's perfect for projects ranging from environmental monitoring and smart home automation to robotics and interactive gaming. Step-by-step tutorials in C/C++, Python, and MicroPython guide beginners and experienced makers alike through 169 exciting projects. Features Wide Compatibility: Fully supports Arduino (Uno R3, Uno R4 Minima/WiFi, Mega 2560), Raspberry Pi (5, 4, 3B+, 3B, Zero, Pico W), and ESP32, enabling extensive flexibility across numerous development platforms. Includes instructions for building 169 projects. Comprehensive Components: Features more than 35 sensors, actuators, and display modules suitable for diverse projects such as environmental monitoring, smart home automation, robotics, and interactive game controllers. Detailed Tutorials: Provides clear, step-by-step tutorials covering Arduino, Raspberry Pi, Pico W, ESP32, and each included component. Tutorials are available in C/C++, Python, and MicroPython, catering effectively to both beginners and experienced makers. Suitable for All Skill Levels: Offers structured projects designed to guide users seamlessly from beginner to advanced proficiency in electronics and programming, enhancing creativity and technical expertise. Included Breadboard Button Module Capacitive Soil Moisture Module Flame Sensor Module Gas/Smoke Sensor Module (MQ2) Gyroscope & Accelerometer Module (MPU6050) Hall Sensor Module Infrared Speed Sensor Module IR Obstacle Avoidance Sensor Module Joystick Module PCF8591 ADC DAC Converter Module Photoresistor Module PIR Motion Module (HC-SR501) Potentiometer Module Pulse Oximeter and Heart Rate Sensor Module (MAX30102) Raindrop Detection Module Real Time Clock Module (DS1302) Rotary Encoder Module Temperature Sensor Module (DS18B20) Temperature and Humidity Sensor Module (DHT11) Temperature, Humidity & Pressure Sensor (BMP280) Time of Flight Micro-LIDAR Distance Sensor (VL53L0X) Touch Sensor Module Ultrasonic Sensor Module (HC-SR04) Vibration Sensor Module (SW-420) Water Level Sensor Module I²C LCD 1602 OLED Display Module (SSD1306) RGB LED Module Traffic Light Module 5 V Relay Module Centrifugal Pump L9110 Motor Driver Module Passive Buzzer Module Servo Motor (SG90) TT Motor ESP8266 Module JDY-31 Bluetooth Module Power Supply Module Documentation Online Tutorial

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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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Pfiffige Projekte zum Messen, Steuern und Regeln Der Raspberry Pi dominiert seit vielen Jahren die Maker-Szene. Frei verfügbare I/O-Pins machten ihn zu einem der beliebtesten Prozessorboards aller Zeiten. Allerdings verfügt der klassische Raspberry Pi über keinerlei Analogeingänge. Eine direkte Messung analoger Werte ist damit nicht möglich. So können weder Photodioden noch NTCs oder Hallsensoren etc. unmittelbar ausgelesen werden. Zudem sind die Pins direkt, d. h. ohne Treiber oder Schutzschaltung, mit den freiliegenden Kontakten verbunden. Dadurch kann der zentrale Controller und damit der gesamte Raspberry Pi schnell zerstört werden. Mit dem Pico können diese Probleme elegant gelöst werden. Er kann als sogenanntes „Frontend“ problemlos vielfältige Messaufgaben übernehmen. Zudem ist der Pico deutlich preisgünstiger als ein klassischer Raspberry Pi 4. Falls eine Fehlbeschaltung zur Zerstörung des Pico führt, ist dies vor allem für nicht-professionelle Anwender relativ leicht zu verkraften. Der klassische Raspberry Pi und der Pico werden so zum idealen Duo. Das Buch führt entsprechend in das weite und hochaktuelle Gebiet der modernen Controllertechnik anhand der beiden Boards „Raspberry Pi 4“ und „Raspberry Pi Pico“ ein. Neben einer tiefergehenden Einführung in die Arbeits- und Funktionsweise der Controllerboards selbst wird insbesondere auch auf die Messwerterfassung und -verarbeitung mit digitalen Prozessoren eingegangen. Insbesondere die Kombination beider Systeme bietet vielfältige und hochinteressante Möglichkeiten. Praktische Projekte aus dem Inhalt: USB-Verbindung zwischen Raspberry Pi 4 und Pico I²C-Kommunikation und Pico als I²C-Device Voltmeter und Computerthermometer Pico W als Web-Server und WLAN-Scanner Frequenzmesser und -generatoren OLED-Displays an Pico und Raspberry Pi 4 Energiesparmonitor Welche Astronauten sind im Orbit? Mini-Monitor für den aktuellen Bitcoin-Kurs

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Program, build, and master over 50 projects with MicroPython and the RP2040 microprocessor The Raspberry Pi Pico is a high-performance microcontroller module designed especially for physical computing. Microcontrollers differ from single-board computers, like the Raspberry Pi 4, in not having an operating system. The Raspberry Pi Pico can be programmed to run a single task very efficiently within real-time control and monitoring applications requiring speed. The ‘Pico’ as we call it, is based on the fast, efficient, and low-cost dual-core ARM Cortex-M0+ RP2040 microcontroller chip running at up to 133 MHz and sporting 264 KB of SRAM, and 2 MB of Flash memory. Besides its large memory, the Pico has even more attractive features including a vast number of GPIO pins, and popular interface modules like ADC, SPI, I²C, UART, and PWM. To cap it all, the chip offers fast and accurate timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico is easily programmed using popular high-level languages such as MicroPython and or C/C++. This book is an introduction to using the Raspberry Pi Pico microcontroller in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all the projects described. There are over 50 working and tested projects in the book, covering the following topics: Installing the MicroPython on Raspberry Pi Pico using a Raspberry Pi or a PC Timer interrupts and external interrupts Analogue-to-digital converter (ADC) projects Using the internal temperature sensor and external temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Wi-Fi and apps to communicate with smartphones Using Bluetooth and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects given in the book have been fully tested and are working. Only basic programming and electronics experience is required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects described. Readers can find the program listings on the Elektor web page created to support the book.

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Réalisés par les créateurs du MagPi, le magazine officiel de Raspberry Pi Démarrez avec le Raspberry Pi 5, le dernier-né et le plus performant de la famille des nano-ordinateurs Raspberry Pi. Apprenez à coder et à réaliser des projets avec cet ordinateur étonnant. Dans ce manuel dédié au Raspberry Pi 5, nous vous proposons aussi de nombreuses idées de projets également réalisables avec le Raspberry Pi 4, le Raspberry Pi Zero 2 W et le Raspberry Pi Pico W. Avec des tutoriels, des projets pratiques, des essais techniques, des guides et bien plus encore, il s’agit de la ressource ultime pour le Raspberry Pi ! 228 pages sur le Raspberry Pi Tout ce que vous devez savoir sur le Raspberry Pi 5 Prise en main de tous les Raspberry Pi Amusez-vous et apprenez l’électronique avec le Pico W Des projets inspirants pour vous donner des idées de réalisations Apprenez μPython en construisant une mini-console Démarrez avec le module caméra Raspberry Pi Intelligence artificielle, codage de son propre agent ChatGP

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World’s Most Popular ROS Platform TurtleBot is the most popular open source robot for education and research. The new generation TurtleBot3 is a small, low cost, fully programmable, ROS based mobile robot. It is intended to be used for education, research, hobby and product prototyping. Affordable Cost TurtleBot was developed to meet the cost-conscious needs of schools, laboratories and companies. TurtleBot3 is the most affordable robot among the SLAM-able mobile robots equipped with a 360° Laser Distance Sensor LDS-01. ROS Standard The TurtleBot brand is managed by Open Robotics, which develops and maintains ROS. Nowadays, ROS has become the go-to platform for all the roboticists around the world. TurtleBot can be integrated with existing ROS-based robot components, but TurtleBot3 can be an affordable platform for whom want to get started learning ROS. Extensibility TurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Waffle Pi is a two-wheeled differential drive type platform but it is able to be structurally and mechanically customized in many ways: Cars, Bikes, Trailers and so on. Extend your ideas beyond imagination with various SBC, sensors and motors on a scalable structure. Modular Actuator for Mobile Robot TurtleBot3 is able to get a precise spatial data by using 2 DYNAMIXEL’s in the wheel joints. DYNAMIXEL XM series can be operated by one of 6 operating modes (XL series: 4 operating modes): Velocity control mode for wheels, Torque control mode or Position control mode for joint, etc. DYNAMIXEL can be used even to make a mobile manipulator which is light but can be precisely controlled with velocity, torque and position control. DYNAMIXEL is a core component that makes TurtleBot3 perfect. It is easy to assemble, maintain, replace and reconfigure. Open Control Board for ROS The control board is open-sourced in hardware wise and in software wise for ROS communication. The open source control board OpenCR1.0 is powerful enough to control not only DYNAMIXEL’s but also ROBOTIS sensors that are frequently being used for basic recognition tasks in cost effective way. Various sensors such as Touch sensor, Infrared sensor, Color sensor and a handful more are available. The OpenCR1.0 has an IMU sensor inside the board so that it can enhance precise control for countless applications. The board has 3.3 V, 5 V, 12 V power supplies to reinforce the available computer device lineups. Open Source The hardware, firmware and software of TurtleBot3 are open source which means that users are welcomed to download, modify and share source codes. All components of TurtleBot3 are manufactured with injection molded plastic to achieve low cost, however, the 3D CAD data is also available for 3D printing. Specifications Maximum translational velocity 0.26 m/s Maximum rotational velocity 1.82 rad/s (104.27 deg/s) Maximum payload 30 kg Size (L x W x H) 281 x 306 x 141 mm Weight (+ SBC + Battery + Sensors) 1.8 kg Threshold of climbing 10 mm or lower Expected operating time 2h Expected charging time 2h 30m SBC (Single Board Computers) Raspberry Pi 4 (2 GB RAM) MCU 32-bit ARM Cortex-M7 with FPU (216 MHz, 462 DMIPS) Remote Controller RC-100B + BT-410 Set (Bluetooth 4, BLE) Actuator XL430-W210 LDS (Laser Distance Sensor) 360 Laser Distance Sensor LDS-01 or LDS-02 Camera Raspberry Pi Camera Module v2.1 IMU Gyroscope 3 AxisAccelerometer 3 Axis Power connectors 3.3 V/800 mA5 V/4 A12 V/1 A Expansion pins GPIO 18 pinsArduino 32 pin Peripheral 3x UART, 1x CAN, 1x SPI, 1x I²C, 5x ADC, 4x 5-pin OLLO DYNAMIXEL ports 3x RS485, 3x TTL Audio Several programmable beep sequences Programmable LEDs 4x User LED Status LEDs 1x Board status LED1x Arduino LED1x Power LED Buttons and Switches 2x Push buttons, 1x Reset button, 2x Dip switch Battery Lithium polymer 11.1 V 1800 mAh / 19.98 Wh 5C PC connection USB Firmware upgrade via USB / via JTAG Power adapter (SMPS) Input: 100-240 VAC 50/60 Hz, 1.5 A @maxOutput: 12 VDC, 5 A Downloads ROS Robot Programming GitHub E-Manual Community

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