Search results for "google"
Google Google Coral USB Accelerator
The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port. Features Supported host OS: Debian Linux, macOS, Windows 10 Compatible with Raspberry Pi boards Supported Framework: TensorFlow Lite Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner. Supports all major platforms Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge. Specifications ML accelerator Google Edge TPU coprocessor:4 TOPS (int8); 2 TOPS per watt Connector USB 3.0 Type-C (data/power) Dimensions 65 x 30 mm Downloads/Documentation Datasheet Get started with the USB Accelerator Model compatibility on the Edge TPU Edge TPU inferencing overview Run multiple models with multiple Edge TPUs Pipeline a model with multiple Edge TPUs PyCoral API (Python) Libcoral API (C++) Libedgetpu API (C++) Edge TPU compiler Pre-compiled models All software downloads
€ 89,95
Members € 80,96
Elektor Digital Raspberry Pi Full Stack (E-book)
A comprehensive course that will teach you how to build a modern IoT application This book will take you on a whirlwind tour of full-stack web application development using Raspberry Pi. You will learn how to build an application from the ground up. You will gain experience and know-how of technologies including: The Linux operating system and command line. The Python programming language. The Raspberry Pi General Purpose Input Output pins (GPIOs). The Nginx web server. Flask Python web application microframework. JQuery and CSS for creating user interfaces. Dealing with time zones. Creating charts with Plotly and Google Charts. Data logging with Google Sheet. Developing applets with IFTTT. Securing your application with SSL. Receiving SMS notifications to your phone using Twilio. This book will also teach you how to set up a remote wireless Arduino sensor node and collect data from it. Your Raspberry Pi web application will be able to process Arduino node data in the same way it processes data from its onboard sensor. Raspberry Pi Full Stack will teach you many skills essential to building Web and Internet of Things applications. The application you will build in this project is a platform that you can extend upon. This is just the start of what you can do with a Raspberry Pi and the software and hardware components that you will learn about. This book is supported by the author via a dedicated discussion space.
€ 32,95
Members € 26,36
Raspberry Pi Full Stack
A comprehensive course that will teach you how to build a modern IoT application This book will take you on a whirlwind tour of full-stack web application development using Raspberry Pi. You will learn how to build an application from the ground up. You will gain experience and know-how of technologies including: The Linux operating system and command line. The Python programming language. The Raspberry Pi General Purpose Input Output pins (GPIOs). The Nginx web server. Flask Python web application microframework. JQuery and CSS for creating user interfaces. Dealing with time zones. Creating charts with Plotly and Google Charts. Data logging with Google Sheet. Developing applets with IFTTT. Securing your application with SSL. Receiving SMS notifications to your phone using Twilio. This book will also teach you how to set up a remote wireless Arduino sensor node and collect data from it. Your Raspberry Pi web application will be able to process Arduino node data in the same way it processes data from its onboard sensor. Raspberry Pi Full Stack will teach you many skills essential to building Web and Internet of Things applications. The application you will build in this project is a platform that you can extend upon. This is just the start of what you can do with a Raspberry Pi and the software and hardware components that you will learn about. This book is supported by the author via a dedicated discussion space.
€ 39,95
Members € 35,96
Elektor Digital Node-RED and Raspberry Pi Pico W (E-book)
From basics to flows for sensors, automation, motors, MQTT, and cloud services This book is a learning guide and a reference. Use it to learn Node-RED, Raspberry Pi Pico W, and MicroPython, and add these state-of-the-art tools to your technology toolkit. It will introduce you to virtual machines, Docker, and MySQL in support of IoT projects based on Node-RED and the Raspberry Pi Pico W. This book combines several elements into a platform that powers the development of modern Internet of Things applications. These elements are a flow-based server, a WiFi-enabled microcontroller, a high-level programming language, and a deployment technology. Combining these elements gives you the tools you need to create automation systems at any scale. From home automation to industrial automation, this book will help you get started. Node-RED is an open-source flow-based development tool that makes it easy to wire together devices, APIs, and online services. Drag and drop nodes to create a flowchart that turns on your lights at sunset or sends you an email when a sensor detects movement. Raspberry Pi Pico W is a version of the Raspberry Pi Pico with added 802.11n Wi-Fi capability. It is an ideal device for physical computing tasks and an excellent match to the Node-RED. Quick book facts Project-based learning approach. Assumes no prior knowledge of flow-based programming tools. Learn to use essential infrastructure tools in your projects, such as virtual machines, Docker, MySQL and useful web APIs such as Google Sheets and OpenWeatherMap. Dozens of mini-projects supported by photographs, wiring schematics, and source code. Get these from the book GitHub repository. Step-by-step instructions on everything. All experiments are based on the Raspberry Pi Pico W. A Wi-Fi network is required for all projects. Hardware (including the Raspberry Pi Pico W) is available as a kit. Downloads GitHub
€ 34,95
Members € 27,96
SparkFun SparkFun Top pHAT for Raspberry Pi
Can you use the SparkFun Top pHAT to prototype machine learning on your Raspberry Pi 4, NVIDIA Jetson, Google Coral or another single-board computer? Indubitably! The SparkFun Top pHAT supports machine learning interactions, including voice control with onboard microphones & speaker, graphical display for camera control feedback, and uninhibited access to the RPi camera connector. Additionally, you can use the programmable buttons, joystick, and RGB LED for user-defined I/O, dynamic system interaction, or system status displays. Can you use it as an interface to introduce your project to the SparkFun Qwiic ecosystem? Indeed! In addition to all the previous features, we have also included a Qwiic connector to allow easy integration over I²C. Billions of combinations of Qwiic-enabled boards are available to you to expand upon the capabilities of the SparkFun Top pHAT. With all the I/O interaction on this board and the lack of soldering needed to get up and running, the SparkFun Top pHAT is the fundamental machine learning add-on for Raspberry Pi or any 2x20 GPIO SBC! Features A Raspberry Pi pHAT that focuses on user interaction with an SBC/RPi. Support for machine learning interactions Voice control (microphones, speaker) Graphical display on 2.4' colour TFT Two Programmable buttons for user-defined I/O Programmable Joystick – for dynamic/interaction with the system (GUI menus, robot driving). Programmable RGB LEDs – for system status, display. Does not inhibit access to RPi camera or display connector On/Off switch for RPi. Supports access to the SparkFun Qwiic ecosystem Intended to be at the top of a pHAT stack - no pins for stacking on top of this board. It’s the Top pHAT!
€ 49,95
Members € 44,96
SparkFun SparkFun Qwiic pHAT v2.0 for Raspberry Pi
The Qwiic pHAT connects the I²C bus (GND, 3.3V, SDA, and SCL) on your Raspberry Pi to an array of Qwiic connectors on the HAT. Since the Qwiic system allows for daisy-chaining boards with different addresses, you can stack as many sensors as you’d like to create a tower of sensing power! The Qwiic pHAT V2.0 has four Qwiic connect ports (two on its side and two vertical), all on the same I²C bus. We've also made sure to add a simple 5V screw terminal to power boards that may need more than 3.3V and a general-purpose button (with the option to shut down the Pi with a script). Also updated, the mounting holes found on the board are now spaced to accommodate the typical Qwiic board dimension of 1.0' x 1.0'. This HAT is compatible with any Raspberry Pi that utilizes the standard 2x20 GPIO header and the NVIDIA Jetson Nano and Google Coral. Features 4 x Qwiic Connection Ports 1 x 5V Tolerant Screw Terminal 1 x General Purpose Button HAT-compatible 40-pin Female Header
€ 6,95
Members € 6,26
Elektor Digital Elektor November/December 2023 (PDF)
Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The Raspberry Pi 5A Huge Improvement From Its Predecessor AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test Arduino Nano Waveform GeneratorNano + Code = Function Generator Solar-Powered Christmas GarlandAn Eco-Friendly Solution for Garnishing Your Balcony USB Killer DetectorBetter Safe Than Sorry A Simple CNCed EnclosureWith Autodesk Fusion 360 for Personal Use Low-Volume Board ProductionWith and without Assembly IoT Simulation Simplified with WokwiDeveloper Uri Shaked on Design, Software, and More A Bare-Metal Programming Guide (Part 3)CMSIS Headers, Automatic Testing, and a Web Server LoRa, a Swiss Army Knife (2)The Hardware and Software MEMS Microphone Design and Construction Tools to Try Before You SolderSimulation and 3D Modeling Tools That Can Be Used for Free New Tools From Microchip!PICkit 5 and MPLAB ICD 5 Available Now! Rapid Prototyping of Flexible, Stretchable ElectronicsHow the Voltera NOVA Speeds Up Innovation in Wearable Electronic Systems Galvanic IsolationUsing Phototransistor Optocouplers Successfully The Complex Solution or the Anybus Solution?Embedded Industrial Ethernet in 2 Days Rather Than Many Months Your Essential DFM ChecklistHow to Start Designing for Manufacture 3D Printing FilamentsTypes, Features and Use in Prototyping Specialists for Effective Signal Analysis from ELF to EHF BandAaronia’s latest real-time SPECTRAN® V6 series spectrum analyzers Challenges of DFM Analysis for Flex and Rigid-Flex Design Setting Up an SMT Line The Right Combination for a Reliable Assembly Revolutionizing IndustriesThe Rise of Autonomous Mobile Robots (AMRs) Evolved for More ChallengesRohde & Schwarz Adds Eight-Channel R&S MXO 5 to Next-Generation Oscilloscopes Starting Out in Electronics……Amplifying Differences Mini Reflow PlateFor Assembling or Repairing Small SMD Circuits Don’t Start with a Prototype – Start with a Pretotype!Check That a Market Exists for Your Product Before Warming Your Soldering Iron 2023: An AI OdysseyGetting Help Designing a Physical Project Brussels Is InnovatingSupport for Deep Tech
€ 7,50
Members € 6,75
Elektor November/December 2023
Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The Raspberry Pi 5A Huge Improvement From Its Predecessor AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test Arduino Nano Waveform GeneratorNano + Code = Function Generator Solar-Powered Christmas GarlandAn Eco-Friendly Solution for Garnishing Your Balcony USB Killer DetectorBetter Safe Than Sorry A Simple CNCed EnclosureWith Autodesk Fusion 360 for Personal Use Low-Volume Board ProductionWith and without Assembly IoT Simulation Simplified with WokwiDeveloper Uri Shaked on Design, Software, and More A Bare-Metal Programming Guide (Part 3)CMSIS Headers, Automatic Testing, and a Web Server LoRa, a Swiss Army Knife (2)The Hardware and Software MEMS Microphone Design and Construction Tools to Try Before You SolderSimulation and 3D Modeling Tools That Can Be Used for Free New Tools From Microchip!PICkit 5 and MPLAB ICD 5 Available Now! Rapid Prototyping of Flexible, Stretchable ElectronicsHow the Voltera NOVA Speeds Up Innovation in Wearable Electronic Systems Galvanic IsolationUsing Phototransistor Optocouplers Successfully The Complex Solution or the Anybus Solution?Embedded Industrial Ethernet in 2 Days Rather Than Many Months Your Essential DFM ChecklistHow to Start Designing for Manufacture 3D Printing FilamentsTypes, Features and Use in Prototyping Specialists for Effective Signal Analysis from ELF to EHF BandAaronia’s latest real-time SPECTRAN® V6 series spectrum analyzers Challenges of DFM Analysis for Flex and Rigid-Flex Design Setting Up an SMT Line The Right Combination for a Reliable Assembly Revolutionizing IndustriesThe Rise of Autonomous Mobile Robots (AMRs) Evolved for More ChallengesRohde & Schwarz Adds Eight-Channel R&S MXO 5 to Next-Generation Oscilloscopes Starting Out in Electronics……Amplifying Differences Mini Reflow PlateFor Assembling or Repairing Small SMD Circuits Don’t Start with a Prototype – Start with a Pretotype!Check That a Market Exists for Your Product Before Warming Your Soldering Iron 2023: An AI OdysseyGetting Help Designing a Physical Project Brussels Is InnovatingSupport for Deep Tech
€ 10,95
Members € 9,86
Arduino Arduino MKR WiFi 1010
The board's main processor is a low-power ARM Cortex-M0 32-bit SAMD21, like in the other boards within the Arduino MKR family. The WiFi and Bluetooth connectivity is performed with a module from u-blox, the NINA-W10, a low-power chipset operating in the 2.4 GHz range. On top of that, secure communication is ensured through the Microchip ECC508 crypto chip. Besides that, you can find a battery charger, and an RGB LED on-board. Official Arduino WiFi Library You can get your board to connect to any kind of existing WiFi network, or use it to create your own Arduino Access Point. The specific set of examples we provide for the MKR WiFi 1010 can be consulted at the WiFiNINA library reference page. Compatible with other Cloud Services It is also possible to connect your board to different Cloud services, Arduino's own among others. Here are some examples of how to get the MKR WiFi 1010 to connect to: Blynk: a simple project from the Arduino community connecting to Blynk to operate your board from a phone with little code IFTTT: in-depth case of building a smart plug connected to IFTTT AWS IoT Core: Arduino made this example on how to connect to Amazon Web Services Azure: visit this GitHub repository explaining how to connect a temperature sensor to Azure's Cloud Firebase: you want to connect to Google's Firebase, this Arduino library will show you how Specifications Microcontroller SAMD21 Cortex-M0+ 32bit low power ARM MCU Radio Module u-blox NINA-W102 Power Supply 5 V Secure Element ATECC508 Supported Battery Li-Po Single Cell, 3.7 V, 1024 mAh Minimum Operating Voltage 3.3 V Digital I/O Pins 8 PWM Pins 13 UART 1 SPI 1 I2C 1 Analog Input Pins 7 Analog Output Pins 1 External Interrupts 10 Flash Memory 256 KB SRAM 32 KB EEPROM no Clock Speed 32.768 kHz, 48 MHz LED_Builtin 6 USB Full-Speed USB Device and embedded Host Length 61.5 mm Width 25 mm Weight 32 g
€ 39,95
Members € 35,96
SparkFun SparkFun Auto pHAT for Raspberry Pi
The servo control is based on the SparkFun servo pHAT, and thanks to its I2C capabilities, this PWM add-on saves the Raspberry Pi's GPIO pins, allowing you to use them for other purposes. We have also provided a Qwiic connector for easy interfacing with the I²C bus using the Qwiic system. Whether you use the Auto pHAT with a Raspberry Pi, NVIDIA, Jetson Nano, Google Coral, or other SBC, it makes for a unique robotics addition and board with a 2x20 GPIO. The DC motor control comes from the same 4245 PSOC and 2-channel motor ports system used on the SparkFun Qwiic Motor Driver. This provides 1.2A steady-state drive per channel (1.5A peak) and 127 levels of DC drive strength. The SparkFun Auto pHAT also supports up to two motor encoders thanks to the onboard ATTINY84A to provide more precise movement to your creation! Additionally, the Auto pHAT has an on-board ICM-20948 9DOF IMU for all your motion-sensing needs. This enables your robot to access the 3-Axis Gyroscope with four selectable ranges, 3-Axis Accelerometer, again with four selectable ranges, and 3-axis magnetometer with an FSR of ±4900µT. Power to the SparkFun Auto pHAT can be supplied through a USB-C connector or external power. This will power either the motors only or power the motors and the Raspberry Pi that is connected to the HAT. We've even added power protection circuits to the design to avoid damage to power sources. Features 4245 PSOC and 2-channel motor ports programmable using Qwiic library Onboard ATTINY84A supports up to two DC motor encoders 5V pass-through from RPi Onboard ICM-20948 9DOF IMU for motion sensing accessible via Qwiic library PWM control for up to four servos Qwiic connector for expansion to full SparkFun Qwiic ecosystem Designed for stacking, full header support & can use additional pHATs on top of it Uninhibited access to the RPi camera connector & display connector. USB-C for powering 5V rail (Motors/Servos/back powering Pi) External power inputs broken out to PTH headers
€ 29,95
Members € 26,96
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, by Saad Imtiaz SparkFun Thing Plus Matter (MGM240P): A Versatile Matter-Based IoT Development Board (Review)
The SparkFun Thing Plus Matter (MGM240P) is a versatile and feature-rich development board designed for creating Matter-based IoT devices. Matter, formerly known as Project CHIP...