silicon labs News - CNX Software - Embedded Systems News

October 7, 2024 by Debashis Das - 2 Comments

Arduino Nano Matter powered gamepad runs Quake at 27 FPS

Silicon Labs Solutions architect Nicola Wrachien has designed an Arduino Nano Matter gamepad for which he was successfully able to port Quake, a popular first-person shooter game. We have seen developers and engineers port doom on everything from toothbrushes to GPS receivers. Wrachien was previously able to port Doom on a Sparkfun Thing Plus Matter MGM240P at Silicon Labs’ 30th-anniversary celebration. But to make things more interesting and challenging he wanted to see if Quake could be run on the same MGM240SD22VNA MCU, and he succeeded. In the end, he could not only run the game, but he also implemented improved graphics (better than Doom), better physics, 3D rendering, and much more. This gamepad is built around an Arduino Nano Matter board which features MGM240SD22VNA MCU from Silicon Labs, along with 256KB of RAM, which is very low compared to Quake’s original system requirements which is a minimum of 8MB […]

August 14, 2024August 13, 2024 by Paisit Wongsongsarn - 7 Comments

Mixtile Edge 2 Kit review with Home Assistant, 2-in-1 Zigbee & Z-Wave mPCIe module

We received the Edge 2 Kit IoT gateway on the Rockchip RK3568-powered Edge2 single board computer (SBC) and a 2-in-1 Zigbee and Z-Wave mPCIe card from Mixtile which we will be reviewing from the perspective of smart home applications using Home Assistant open-source home automation framework. Let’s dive into the details. Unboxing Mixtile Edge 2 Kit CNX Software previously reported on the Mixtile Edge 2 Kit in 2022 and you can check the detailed specifications and block diagram in that earlier article. Since then, Mixtile has found a wider range of applications for the device and is also promoting it as an Edge AI Box that performs AI object detection using the Edge 2 Kit (or the more powerful Mixtile Blade 3) using the built-in NPU (Neural Processing Unit) with up to 1 TOPS of AI performance for tasks such as object detection. Let’s unbox it and take a closer […]

April 23, 2024April 24, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Silicon Labs BG22E, MG22E, FG22E wireless MCUs target energy harvesting, battery-free IoT devices

BG22E MG22E FG22E energy harvesting wireless microcontroller

Silicon Labs xG22E is a family of wireless SoCs consisting of the BG22E, MG22E, and FG22E and designed to operate within an ultra-low power envelope required for battery-free, energy harvesting applications such as electronic shelf labels, Smart Home sensors, remote controls, and so on. Like the just-announced Silicon Labs MG26, BG26, and PG26, the new xG22E family features a Cortex-M33 core clocked up to 76.8MHz. As an evolution of the low-power BG22, the BG22E offers Bluetooth 5.4 LE connectivity with “Energy Conservation” to further enhance battery longevity and even support designs that eliminate the need for batteries. The MG22E is similar but embeds an 802.15.4 radio for Zigbee connectivity, and the FG22E provides a 2.4GHz proprietary plus the Cortex-M33 is clocked up to 38.4MHz. Silicon Labs BG22E, MG22E, FG22E specifications: MCU – Arm Cortex-M33 @ 76.8 MHz with DSP and FPU (38.4 MHz for FG22E) Memory – Up to 32 […]

April 9, 2024May 8, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Silicon Labs MG26, BG26, and PG26 Cortex-M33 AI microcontrollers offer up to 3200KB flash, 512KB RAM, 64 GPIO’s

Silicon Labs MG26 BG26 P26 Cortex M33 microcontrollers

Silicon Labs has announced the xG26 family of Cortex-M33 wireless SoCs and MCUs that consists of the multiprotocol MG26 SoC, the Bluetooth LE BG26 SoC, and the PG26 general-purpose MCU without wireless connectivity, and features double the flash and RAM of the Silicon Labs xG24 devices. The xG26 family also comes with double the number of general-purpose input/output (GPIO) pins as the xG24 to enable engineers to build more complex devices in combination with the larger flash and memory reaching up to 3200 KB and 512KB respectively and also integrates a Matrix Vector Processor (MVP) for AI/ML hardware acceleration and Math functions. Silicon Labs MG26 and BG26 wireless SoCs MG26 and BG26 key features and specifications: MCU core – Arm Cortex-M33 @ 78 MHz AI/ML accelerator – Matrix Vector Processor that is 8x faster and 6x lower power than Cortex-M33 processing, and supports an MVP Math Library for non-ML workloads […]

March 26, 2024 by Tomisin Olujinmi - 6 Comments

Arduino Nano Matter board specifications and price announced

The Arduino Nano Matter is the product of a collaboration between Arduino and Silicon Labs. The Nano Matter board was announced in January and is powered by SiLabs’ MGM240S chip. It offers multiple wireless connectivity options such as Matter, OpenThread, and Bluetooth Low Energy. Support for the Matter standard is the Nano Matter board’s key offering. Matter is an open-source, connectivity protocol that lets smart home devices from different manufacturers interoperate seamlessly. The 45mm x 18mm board leverages dual-mode connectivity, with IEEE 802.15.4 (Thread) for mesh networking and Bluetooth Low Energy for short-range communication. It is targeted at the Internet of Things, home automation, professional automation, environmental monitoring, and climate control applications. Prospective industrial applications include machine-to-machine interoperability, machine status monitoring, and worker status optimization. Arduino Nano Matter specs: MPU – SiLabs MGM240SD22VNA MCU core – 32-bit Arm Cortex-M33 with DSP (digital signal processing) instruction and FPU (floating-point unit) @ […]

January 11, 2024January 13, 2024 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Arduino and Silicon Labs collaborate to bring Matter to Arduino boards and IDE

Arduino and Silicon Labs have joined hands to both bring Matter-compatible SiLabs wireless microcontrollers to the Arduino IDE and then design an upcoming Arduino Nano based on SiLabs MGM240 Arm Cortex-M33 microcontroller with Matter, Thread, Zigbee, and Bluetooth LE protocols. Available now: Arduino Core for Silicon Labs devices The first phase of the collaboration involves getting Arduino core for Silicon Labs development boards so that compatible devices can be programmed in the IDE. The good news is that it’s available now and works with four existing wireless boards: SparkFun Thing Plus Matter MGM240P based on MGM240PB32VNA Arm Cortex-M33 MCU with Matter, Thread, Zigbee 3.0, and Bluetooth 5.3 LE connectivity SiLabs xG27 Dev Kit based on EFR32BG27C140F768IM40 Arm Cortex-M33 MCU with Bluetooth LE 5.3, Bluetooth Mesh, Proprietary 2.4 GHz connectivity SiLabs xG24 Explorer Kit based on EFR32MG24B210F1536IM48 Arm Cortex-M33 MCU with Bluetooth 5.3 LE, Bluetooth Mesh, Matter, OpenThread, Zigbee, Proprietary 2.4 […]

December 15, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Silicon Labs partners with Nabu Casa to support Home Assistant development

Silicon Labs has entered an official partnership with Nabu Casa, the company behind the popular Home Assistant home automation software, to support the development of Home Assistant open-source software and Silicon Labs-based hardware platforms. Most open-source embedded software projects start as a one-person (or a small team) effort as the vendor-provided firmware and related software may not have the features set needed by this user or group of users. So they hack existing hardware to build something that better fits their requirements often without input/help from the silicon vendor or product manufacturer. But sometimes the project becomes popular enough that large companies start to help it with support and funding. That’s apparently the case for Home Assistant project with Silicon Lans and Nabu Case entering an official partnership. The announcement does not provide details about the partnership but explains this should lead to better support and improvements for both Home […]

August 22, 2023August 22, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Silicon Labs SG23 and SG28 SoCs are optimized for Amazon Sidewalk

Silicon Labs has launched two new Cortex-M33 SoCs optimized for Amazon Sidewalk with the EFR32SG23 (SG23) Sub-GHz wireless SoC and the EFR32SG28 (SG28) dual-band wireless SoC with Sub-GHz and Bluetooth LE. Both low-power SoCs are designed for “Internet of Things” applications in smart homes, security, lighting, building automation, and metering and come with a Matrix Vector Processor to enable AI/ML implementation for Smart End Nodes. Silicon Labs SG28 (EFR32SG28) specifications: MCU core – Arm Cortex-M33 @ 78 MHz with DSP instructions and FPU On-chip memory – Up to 256 kB RAM data memory On-chip storage – Up to 1024 kB flash program memory AI accelerator – Matrix Vector Processor for AI/ML acceleration Wireless Sub-GHz radio TX power up to +20 dBm Rx sensitivity – -98.6 dBm sensitivity @ 50 kbps 915 MHz 2GFSK 2.4 GHz BLE radio – TX power up to +10 dBm Protocol – Amazon Sidewalk Energy consumption […]