CNX Software - Embedded Systems News

March 1, 2022March 1, 2022 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Snapdragon X70 5G modem leverages “AI” to reach 10 Gbps

Qualcomm has announced their latest 5G modem with the Snapdragon X70 that is said to “uses the power of AI” to enable 5G speeds up to 10 Gbps, wider coverage, low latency, and higher power efficiency. The company explains the Qualcomm 5G AI Suite enables AI-powered optimizations of sub-6 GHz and mmWave 5G links on the Snapdragon X70 through various techniques: AI-based channel-state feedback and dynamic optimization AI-based mmWave beam management for superior mobility and coverage robustness AI-based network selection for superior mobility and link robustness AI-based adaptive antenna tuning for up to 30% improved context detection for higher average speeds and coverage That’s about all the details we have about the “artificial intelligence” part, and I’m not convinced neural networks are actually used here. For reference, the previous generation Snapdragon X65 was also sold as a 10Gbps 5G modem, but maybe Snapdragon X70 can achieve high speeds more reliably. […]

March 1, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

M5Stamp C3U IoT module relies on ESP32-C3’s own USB interface for firmware programming

M5Stamp C3U is an update of the M5Stamp C3 RISC-V IoT module with heat-resistant cover, support for WiFi 4 and Bluetooth 5.0, that does without CH9102 USB to TTL chip, relying instead on the internal USB interface of ESP32-C3 processor to handle serial programming of the firmware, and gaining on extra GPIO pin in the process. While several ESP32 processors come with a built-in USB interface, many boards still use an external USB to TTL chip such as CH340 or CP2102 to handle the serial interface used for debugging and flashing the firmware likely because of limitations when using ESP32-C3’s USB serial/JTAG controller console, but M5Stack probably considered those to be workable, and the small cost-saving beneficial. M5Stamp C3U specifications: WiSoC – ESP32-C3FH4 32-bit single-core RISC-V processor @ up to 160 MHz, with 384KB ROM, 400KB SRAM, 8KB RTC SRAM, 4MB embedded flash, WiFi and Bluetooth Connectivity 2.4 GHz WiFi […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

March 1, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Qualcomm announces FastConnect 7800 WiFi 7 & Bluetooth 5.3 solution

Qualcomm FastConnect 7800 WiFi 7 chip highlights

Qualcomm has just announced the FastConnect 7800 WiFi 7 and Bluetooth 5.3 subsystem for smartphones, laptops, and virtual reality headsets promising peak speeds of 5.8 Gbps as well as sub-2 millisecond latency. We first detailed some of WiFi 7 features such as up to 40 Gbps link, and real-time capabilities when MediaTek showcased its future 802.11be compliant Filogic processor to customers, so it should be no surprise that Qualcomm had been working on its own solution, and announced it at Mobile World Congress 2022. Qualcomm FastConnect 7800 (WCN785x-1, WCN785x-5) specifications: Wi-Fi Standards – Wi-Fi 7 (802.11be), Wi-Fi 6E, Wi-Fi 6 (802.11ax), 802.11ac Wave 2, 802.11a/b/g, 802.11n Spectral Bands: 2.4GHz, 5GHz, 6GHz Peak QAM: 4K QAM Peak speed: 5.8Gbps or 4.3Gbps where the 6GHz spectrum is not available Features 4-stream Dual-band simultaneous (DBS) extended into the High Bands Multi-Link Operation (MLO) using 320 MHz (Single channel or 160 + 160) 8×8 […]

February 28, 2022July 20, 2022 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

$55+ Orange Pi 4 LTS SBC features YT8531C Ethernet PHY, CDW 20U5622-00 wireless module

Orange Pi 4 LTS is a cost-optimized (and availability-optimized) variant of the Rockchip RK3399 powered Orange Pi 4 single board computer that was introduced in 2019 with 4GB RAM for $49.90 and up. Shenzhen Xunlong Software mainly kept the same design with the cost savings involving a choice of 3GB or 4GB RAM, and the replacement of Realtek Ethernet PHY and Ampak wireless module with the equivalent MotorComm YT8531C Ethernet chip and CdTech wireless module with WiFi and Bluetooth 5.0 connectivity. Orange Pi 4 LTS specifications with changes highlighted in bold: SoC – Rockchip K3399 hexa-core big.LITTLE processor with two Arm Cortex A72 cores @ up to 1.8 GHz, four Cortex A53 cores, and an ARM Mali-T860 MP4 GPU System Memory – 3GB or 4GB LPDDR4 Storage – MicroSD card socket, optional 16 GB eMMC flash Video Output/Display Interface HDMI 2.0 up to 4K @ 60 Hz LCD connector for […]

February 28, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

SmartCow Apollo – A Jetson Xavier NX devkit for conversational AI, computer vision

SmartCow Apollo is an audio/video AI engineering kit based on NVIDIA Jetson Xavier NX computer module designed for applications with conversational AI capabilities, such as speaker recognition and sentiment analysis. But considering a camera is included, computer vision applications should also be possible. The development kit comes with a 128GB NVMe SSD, four microphones, two speaker terminals, two 3.5mm phone jacks, an 8MP camera module, and a 2.08-inch OLED display with everything housed in a frame that keeps the module and accessories like that camera upright. SmartCow Apollo specifications: NVIDIA Jetson Xavier NX system-on-module CPU – 6-core NVIDIA Carmel ARMv8.2 64-bit CPU with 6MB L2 and 4MB L3 cache GPU – NVIDIA Volta architecture with 384 NVIDIA CUDA cores and 48 Tensor cores Memory – 8 GB or 16GB 128-bit LPDDR4x Storage – 16 GB eMMC 5.1 flash Display 1x Mini DP port 7-pin SPI header for OLED display (included) […]

February 28, 2022February 28, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Open-source LXI Tools is made for “LAN eXtensions for Instrumentation” compliant test instruments

LXI Tools is an open-source project designed to manage Ethernet-connected test instruments such as oscilloscopes, power supplies, spectrum analyzers, etc… that are compliant with the “LAN eXtensions for Instrumentation” standard, or LXI for shorts, hence the name of the project. LXI Tools is available either as a command-line program (lxi) or a graphical user interface (lxi-gui), and includes features such as the automatic discovery of test instruments, sending SCPI (Standard Commands for Programmable Instruments) commands, grabbing screenshots from supported instruments, benchmarking SCPI message performance, and Lua scripting for test automation. The tool is compatible with higher-end instruments compatible with LXI from vendors such as Keysight Technologies, Kikusui Electronics, Rigol Technologies, Rohde & Schwarz, Siglent Technologies, and Tektronix. All support SCPI commands, while autodiscovery and screenshot functions are supported by most tested models. While it’s possible to build the project from source using meson, the easiest way to install LXI Tools […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

February 27, 2022February 27, 2022 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Beagle-Pi Emulator is a Raspberry Pi HAT adapter for BeagleBone Black (Crowdfunding)

Beagle-Pi Emulator BeagleBone Black Industrial

We recently reported the Raspberry Pi boards were getting really expensive due to a lack of supply, and the problem has gone on for while without a clear idea when the issue will be resolved. This does not help Raspberry Pi HAT manufacturers, and for instance, Sequent Microsystems has made Raspberry Pi HATs over the years most models with multiple relays, but also others for temperature sensors, and others automation applications. One solution would be to use compatible boards like ODROID-C4 or Rock64, but Sequent Microsystems found out the BeagleBone Black Industrial was well-stocked by various distributors, and instead, they designed the “Beagle-Pi Emulator” adapter to use Raspberry Pi HAT on the Texas Instruments Sitara AM3358 board. An adapter is needed because the BeagleBone Black boards are equipped with two 46-pin headers instead of the 40-pin header on Raspberry Pi SBC’s. The expansion board routes I2C, SPI, four serial […]

February 26, 2022February 26, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Codasip L31 and L11 RISC-V cores for AI/ML support TFLite Micro, customizations

Codasip has announced the L31 and L11 low-power embedded RISC-V processor cores optimized for customization of AI/ML IoT edge applications with power and size constraints. The company further explains the new L31/L11 RISC-V cores can run Google’s TensorFlow Lite for Microcontrollers (TFLite Micro) and can be optimized for specific applications through Codasip Studio RISC-V design tools. As I understand it, this can be done by the customers themselves thanks to a full architecture license as stated by Codasip CTO, Zdeněk Přikryl: Licensing the CodAL description of a RISC-V core gives Codasip customers a full architecture license enabling both the ISA and microarchitecture to be customized. The new L11/31 cores make it even easier to add features our customers were asking for, such as edge AI, into the smallest, lowest power embedded processor designs. The ability to customize the cores is important for AI and ML applications since the data types, […]