Search Results for : Raspberry Pi 4

Italian embedded device manufacturer Melopero has recently launched a powerful new development board based on the Raspberry Pi’s in-house silicon tapeout RP2040. Lately, we have seen many manufacturers designing a feather form factor development board on RP2040, like the Adafruit...

Knowles, has launched a development kit for the Raspberry Pi for prototyping products based on a homegrown AISonic IA8201 DSP that was introduced not long ago. Designed to bring voice, audio edge processing, and machine learning (ML) listening capabilities to various systems, the...

Tech Giant, Geniatech, has launched a $90 “XPI-iMX8MM” Single Board Computer! The XPI-iMX8MM runs Linux on an i.MX8M Mini and is equipped with 1GB to 4GB RAM, 8GB to 128GB eMMC, and 40-pin GPIO. Geniatech’s XPI-iMX8MM is a Raspberry Pi sized SBC that has NXP’s 1.8GHz and...

Introduction Single-board computers based on the Raspberry Pi are powerful, low-cost, and compact. This makes them excellent for small tasks that require a real computer rather than a low-level microcontroller. However, they have a minor downside in that, they are compact but not...

A month back, Seeed Studio dropped a spoiler on LinkedIn regarding their plan to launch yet another product for its XIAO series featuring Raspberry Pi’s first in-house silicon tape out RP2040 SoC. A couple of years back, Seeed Studio released its hardware in the XIAO series with one...

Recently, we have seen the launch of the Firefly ROC-RK3566-PC mini-computer built around the Rockchip RK3566 chip. To continue the emergence of RK3566-powered development boards, the Quartz64, a single-board computer (SBC) has been released by Pine64. With the integrated powerful...

Sunlight readable display may not be a new concept for most developers working on the Raspberry Pi single-board computers. For those who do not know how it works, then as the name suggests, a sunlight-readable display operates in direct sunlight or harsh light conditions. Those working...

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...