Search results for "google a"
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
SparkFun SparkFun GPS-RTK Dead Reckoning pHAT for Raspberry Pi
The ZED-F9R module is a 184-channel u-blox F9 engine GNSS receiver, meaning it can receive signals from the GPS, GLONASS, Galileo, and BeiDou constellations with ~0.2-meter accuracy! That's right; such accuracy can be achieved with an RTK navigation solution when used with a correction source. Note that the ZED-F9R can only operate as a rover, so you will need to connect to a base station. The module supports the concurrent reception of four GNSS systems. The combination of GNSS and integrated 3D sensor measurements on the ZED-F9R provide accurate, real-time positioning rates of up to 30Hz. Compared to other GPS modules, this pHAT maximizes position accuracy in dense cities or covered areas. Even under poor signal conditions, continuous positioning is provided in urban environments and is also available during complete signal loss (e.g. short tunnels and parking garages). The ZED-F9R is the ultimate solution for autonomous robotic applications that require accurate positioning under challenging conditions. This u-blox receiver supports a few serial protocols. By default, we chose to use the Raspberry Pi's serial UART to communicate with the module. With pre-soldered headers, no soldering is required to stack the pHAT on a Raspberry Pi, NVIDIA Jetson Nano, Google Coral, or any single-board computer with the 2x20 form factor. We have also broken out a few 0.1'-spaced pins from the u-blox receiver. A Qwiic connector is also added in case you need to connect a Qwiic enabled device. U-blox based GPS products are configurable using the popular but dense, windows program called u-centre. Plenty of different functions can be configured on the ZED-F9R: baud rates, update rates, geofencing, spoofing detection, external interrupts, SBAS/D-GPS, etc. The SparkFun ZED-F9R GPS pHAT is also equipped with an on-board rechargeable battery that provides power to the RTC on the ZED-F9R. This reduces the time-to-first fix from a cold start (~24s) to a hot start (~2s). The battery will maintain RTC and GNSS orbit data without being connected to power for plenty of time. Features 1 x Qwiic Connector Integrated U.FL connector for use with an antenna of your choice Concurrent reception of GPS, GLONASS, Galileo and BeiDou 184-Channel GNSS Receiver Receives both L1C/A and L2C bands Horizontal Position Accuracy: 0.20 m with RTK Max Navigation Rate: Up to 30Hz Time to First Fix Cold: 24 s Hot: 2 s Operational Limits Max G: ≤4 G Max Altitude: 50 km Max Velocity: 500 m/s Velocity Accuracy: 0.5 m/s Heading Accuracy: 0.2 degrees Built-In Accelerometer and Gyroscope Time Pulse Accuracy: 30ns Voltage: 5 V or 3.3 V, but all logic is 3.3 V Current: ~85mA to ~130mA (varies with constellations and tracking state) Software Configurable Geofencing Odometer Spoofing Detection External Interrupt Pin Control Low Power Mode Supports NMEA, UBX, and RTCM protocols over UART
€ 299,00
Members € 269,10
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
Arduino Arduino Nano 33 IoT with Headers
The board's main processor is a low-power Arm® Cortex®-M0 32-bit SAMD21. The WiFi and Bluetooth® connectivity is performed with a module from u-blox, the NINA-W10, a low-power chipset operating in the 2.4GHz range. On top of that, secure communication is ensured through the Microchip® ECC608 crypto chip. Besides that, you can find a 6 axis IMU, which makes this board perfect for simple vibration alarm systems, pedometers, the relative positioning of robots, etc. WiFi and Arduino IoT Cloud 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 Nano 33 IoT can be consulted at the WiFiNINA library reference page. 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 Arduino boards to connect to: Arduino's own IoT Cloud: Arduino's IoT Cloud is a simple and fast way to ensure secure communication for all of your connected Things. Check it out here. Blynk: a simple project from our community connecting to Blynk to operate your board from a phone with little code. IFTTT: see an in-depth case of building a smart plug connected to IFTTT. AWS IoT Core: we 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. Microcontroller SAMD21 Cortex®-M0+ 32bit low power ARM MCU Radio Module u-blox NINA-W102 Secure Element ATECC608A Operating Voltage 3.3 V Input Voltage 21 V Digital I/O Pins 14 PWM Pins 11 DC Current per I/O Pin 7 mA Analog Input Pins 8 Analog Output Pins 1 External Interrupts all digital pins UART 1 SPI 1 I2C 1 Flash Memory 256 KB SRAM 32 KB EEPROM none Clock Speed 48 MHz LED_Builtin 13 USB Native in the SAMD21 Processor IMU LSM6DS3 Length 45 mm Width 18 mm Weight 5 g
€ 32,95
Members € 29,66
Home Assistant Home Assistant Green
Take your first step to upgrading your smart home with Home Assistant Green, the easiest way to start using Home Assistant. Its powerful hardware lets you control and automate everything in your home from a single app with Home Assistant. Just plug in power and network cables, and you'll be up and running. Download our mobile apps or use our web app to guide you through the setup process seamlessly. That's all! Home Assistant will automatically start detecting your smart home devices. Everything in one app More than 1,000 built-in integrations support hundreds of thousands of smart devices and online services, with more regularly added by our community. Switch from other smart home ecosystems at your own pace Home Assistant works with your existing Apple HomeKit, Google Home, Samsung SmartThings, and Amazon Alexa setup, allowing a seamless and gradual migration for everyone in your home. Expand compatibility as your home expands You can add Home Assistant SkyConnect to connect Zigbee and Thread devices, set up Home Assistant Cloud for voice assistants, and integrate third-party USB accessories to support other smart standards, such as Z-Wave or Bluetooth. Home Assistant is built by one of the largest communities of open-source contributors. New features and improvements are added every month, ensuring your smart home never lets you down. Home Assistant keeps your data locally, which means you are safe from invasive privacy practices and you can access your smart home even when the Internet is down. Specifications SoC Rockchip RK3566 SoC with quad-core Arm Cortex-A55 CPU CPU Frequency 1.8 GHz Storage 32 GB eMMC flash drive RAM 4 GB LPDDR4X Interfaces Status LEDs White (power indicator)Green (activity indicator)Yellow (system health indicator) Power supply DC barrel connector, 5.5 x 2.1 mm12 V DC, 1 A Battery CR2032 (not included) Energy consumption Idle: ~1.7 W at 12 VLoad: ~3 W at 12 V USB 2x USB 2.0 Type-A Host ports, 5 V up to 2 A (combined) Display HDMI port, for diagnostic purposes only External storage MicroSD slot, for recovery purposes only Networking Gigabit Ethernet Dimensions 112 x 112 x 32 mm Weight 340 g Included Home Assistant Green smart home hub Gigabit Ethernet cable 12 V/1 A universal power supply (comes with plug adapters for EU, US, and UK) Quick Start Guide Warranty and Safety Information Downloads Datasheet Documentation GitHub
€ 129,95
Members € 116,96
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
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
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
Elektor Publishing Node-RED and Raspberry Pi Pico W
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
€ 44,95
Members € 40,46
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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...
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, by Burkhard Kainka First Experiences With HackRF One – a Review
When I first held the HackRF One in my hand, I knew almost nothing about it, except that it is an SDR receiver and transmitter...