Search Results for : Pimoroni

The Mcuzone MPW7 is a HAT for the Raspberry Pi 5 that adds Wi-Fi 7 capabilities to the Pi5. It works with specific Wi-Fi modules like the Intel BE200, AX210, and AX200. On top of that, the company said the module will also have support for Google TPU, Wi-Fi 6/6E, and Bluetooth...

SupTronics Technologies has launched the X100x series of PCIe to NVMe Shields for the new Raspberry Pi 5. These Shields or HATs allow you to use NVMe SSDs of different sizes, including 2230, 2242, and 2280. The standout models are the X1004, which supports dual 2280 SSDs(up to 8TB), and...

The OpenEPaperLink Mini-AP v3 is a multifunctional gateway for home E-Paper display systems. It supports JPG images and integrates with HomeAssistant, enhancing smart home capabilities. With the OpenEPaperLink Mini-AP v3, you can control all your ePaper tags effortlessly. Previously we...

Tiny Raspberry Pi RP2040 module connects to USB-C + buttons board via FPC connector The Waveshare RP2040-Tiny enters the scene as a noteworthy addition to the family of Raspberry Pi RP2040 modules. In the company of counterparts like Pimoroni Tiny 2040, DFRobot Beetle RP2020, and...

The OpenAirMonitor is an outdoor air quality monitor that is powered by solar energy and sends data over LoRaWAN and Bluetooth LE. It measures the amount of dust (PM1, PM2.5, and PM10), as well as the temperature and humidity. The monitor has a STEMMA QT connector, which means that it...

UK-based Pimoroni has designed an all-in-one Automation 2040 W monitoring and automation system based on the Raspberry Pi Pico W development board module. As a standalone affair with pre-soldered Pico W, 2.4 GHz WiFi 4 wireless connectivity, and an extended voltage range of 6 to 40V,...

M5Stack has introduced a cost-effective, Espressif ESP32-powered WiFi camera that is ideal for all types of wireless camera applications scenarios. The new device named, Unit CAM M5 is based on the ESP32-WROOM-32E control core and an OV2640 image sensor with a resolution of up to 2...

For real-time AI applications, it is important to process incoming data using a trained neural network model. For faster data processing, the introduction to AI inference at cloud did support many aspects, increasing efficiency, but the need to process the data at the end device has...