ESP32-H2-DevKitM-1 ESP32-H2 development board launched for $10

ESP32-H2-DevKitM-1

Espressif Systems unveiled the ESP32-H2 Bluetooth 5.2 LE & 802.15.4 RISC-V microcontroller in August 2021, but the ESP32-H2-DevKitM-1 development board based on the ESP32-H2-MINI-1 module has only been selling on the official Espressif’s Aliexpress store for $9.90 for a few weeks. The ESP32-H2-DevKitM-1 development board allows the development of applications with Bluetooth 5.2 LE, Zigbee, Thread, and/or Matter connectivity, features two USB Type-C ports, Boot & Reset buttons, and RGB LED, and two rows of 15 pins exposing all I/Os from the ESP32-H2-MINI-1 module. ESP32-H2-DevKitM-1 specifications: Wireless module – ESP32-H2-MINI-1 MCU – Espressif Systems ESP32-H2 32-bit RISC-V microcontroller at up to 96 MHz with 320 KB SRAM, 128 KB ROM, 4 KB LP memory, Bluetooth 5.2 LE/Mesh and 802.15.4 (Zigbee/Thread/Matter) radios. Storage – 4MB flash storage (E1N4 on the photo above should mean 4MB, but there are also ESP32-H2-MINI-1 modules with 1MB and 2MB flash) PCB antenna Dimensions – 13.2×16.6×2.4 […]

Linux 6.3 release – Notable changes, Arm, RISC-V and MIPS architectures

Linux 6.3 release

Linux Torvalds has just announced the release of Linux 6.3 on the Linux Kernel Mailing List (LKML): It’s been a calm release this time around, and the last week was really no different. So here we are, right on schedule, with the 6.3 release out and ready for your enjoyment. That doesn’t mean that something nasty couldn’t have been lurking all these weeks, of course, but let’s just take things at face value and hope it all means that everything is fine, and it really was a nice controlled release cycle. It happens. This also obviously means the merge window for 6.4 will open tomorrow. I already have two dozen pull requests waiting for me to start doing my pulls, and I appreciate it. I expect I’ll have even more when I wake up tomorrow. But in the meantime, let’s enjoy (and test) the 6.3 release. As always, the shortlog […]

100ASK-V853-Pro – A feature-rich Allwinner V853 board designed for AI vision applications

100ASK V853 Pro

The 100ASK-V853-Pro board is a development kit consisting of an Allwinner V853 system-on-module board (SoM) and a feature-rich carrier board with a large number of interfaces. Allwinner V853 supports up to 1TOPS of NPU computing power and is mainly for AI vision application development. The core board contains a DDR and eMMC as well as a PMU chip (AXP2101) and is connected to the carrier board through a board-to-board connector. All the functional resources of the V853 are drawn out through the carrier board. The carrier board comes with 2-channels CSI camera interfaces as well as RGB and MIPI DSI display interfaces. Although 1 TOPS of AI computing power is not outstanding, the NPU can still be used to accelerate AI vision applications at the edge. The board also comes with four USB 2.0 ports (two Type-A, two Type-C), an 100Mbps Ethernet port, a 22-pin header for expansion, and five […]

TI launches Simplelink CC3300/CC3301 WiFi 6, Bluetooth 5.3 LE companion IC for IoT applications

BP-CC3301 SimpleLink CC3301 WiFi 6 BLE BoosterPack plug in module

Texas Instruments has unveiled the SimpleLink CC33xx family of Wi-Fi 6 companion IC with optional Bluetooth 5.3 Low Energy designed to be connected to a microcontroller (MCU) or a microprocessor (MPU) for secure and power-efficient IoT devices, The SimpleLink CC3000 supports 2.4 GHz WiFi 6, and interfaces over SDIO, SPI, and/or UART to the host system, while the SimpleLink CC3301 also adds support for Bluetooth 5.3 LE. Both chips can operate in high-temperature environments up to 105ºC. Texas Instruments CC3300/CC3301 specifications: Wireless 2.4 GHz WiFi 6 (802.11ax) up to 50 Mbps; Support for TWT and OFDMA, multirole (Access Point and Station) CC3301 only – Bluetooth 5.3 Low Energy up to 2 Mbps WiFi and Bluetooth COEX Host interface – 4-bit SDIO or SPI, and UART to external MCU or MPU Security – FW authentication and anti-rollback protection, WPA2/WPA3, Secured host interface Pacakge – 40-pin QFN package (5×5 mm) Temperature range […]

Renesas RZ/T2L Arm Cortex-R52 microprocessor embeds EtherCAT controller

Renesas RZ/TL2 Cortex-R52 microprocessor

Renesas RZ/T2L is a cost-optimized single-core Arm Cortex-R52 microprocessor (MPU) with an EtherCAT controller based on the same architecture as the higher-end Renesas RZ/T2M dual-core Cortex-R52 processor introduced last year, but at about half the size. The new MPU enables high-speed and accurate real-time processing performance required for AC servo drives, inverters, industrial robots, collaborative robots, etc.. used in factory automation (FA), medical equipment, building automation (BA), and other sectors and applications where EtherCAT is being adopted. Renesas RZ/T2L key features and specifications: CPU – Arm Cortex-R52 clocked at up to 800MHz with 16KB L1 I/D cache, 512KB ATCM, 64KB BTCM Memory – 1MB RAM with ECC Trigonometric function accelerator Ethernet EtherCAT slave controller: 3x ports 1x Ethernet MAC Motor control 2-channel encoder interface with support for A-format, EnDat2.2, BiSS-C, HIPERFACE DSL, FA-CODER Functional safety (FuSa) software up to SIL3 Motor current loop < 1µs 3-phase complementary PWM output for […]

$499 NVIDIA Jetson Orin Nano Developer Kit delivers up to 80x Jetson Nano Devkit performance

NVIDIA Jetson Orin Nano Developer Kit

NVIDIA Jetson Orin Nano Developer Kit is an upgrade to the popular Jetson Nano Developer Kit that delivers 80 times the performance, up to 50 times the performance per watt, and gives the developers the ability to design entry-level AI-powered robots, smart drones, intelligent vision systems, and more. The Jetson Orin Nano has a similar form factor as the original Jetson Nano, but is fitted with a Jetson Orin Nano 8GB module with up to 40 TOPS AI performance, and is equipped with a DisplayPort video output, USB 3.2 Gen 2 ports, two M.2 Key M sockets for SSDs, Gigabit Ethernet, a pre-installed Wi-Fi module, and connectors for cameras. NVIDIA Jetson Orin Nano Developer Kit specifications (compared to Jetson Nano Developer Kit-B01) The new developer kit is supported by the Ubuntu 20.04-based NVIDIA JetPack 5.1.1 SDK, as well as application-specific frameworks such as NVIDIA Isaac ROS and DeepStream, which are […]

Qualcomm Robotics RB1 and RB2 development kits launched for $199 and up

Qualcomm Robotics RB1 RB2 Vision Kit

We quickly mentioned the Qualcomm Robotics RB1 and RB2 development kits in our post about Lantronix Open-Q 2210RB and 4210RB SiPs mostly to complain about the lack of information at the time. But things have changed the Qualcomm Robotics RB1 and RB2 devkits for cheaper, smaller Linux-powered robots with lower power consumption are now available, and we have more details with three options: Core Kit, Vision Kit, and Full Kit. So let’s have a closer look. All kits are based on the Qualcomm Robotics RB1/RB2 Core Kit with the following (preliminary) specifications: System-on-module RB1 –  Thundercomm TurboX C2210 SoC – Qualcomm QRB2210 CPU – Quad-core Cortex-A53 processor at up to 2.0 GHz GPU – Adreno 702 GPU at 845 MHz with support for OpenGL ES 3.1, Vulkan 1.1, OpenCL 2.0 Hexagon QDSP6 v66 DSP 1080p 30 fps encode / 1080p 30fps decode System Memory – 1GB or 2GB LPDDR4 Storage […]

Texas Instruments unveils AM62A, AM68A and AM69A Arm Cortex Vision processors and devkits

SK AM69 AM69A starter kit

Texas Instruments AM62A, AM8, and AM69A Arm Cortex-A53 or Cortex-A72 Vision processors come with 2 to  8 CPU cores and deep learning accelerators delivering from 1 TOPS to 32 TOPS for low-power vision and artificial intelligence (AI) processing in applications such as video doorbells, machine vision, and autonomous mobile robots. Three families and a total of 6 parts are available: AM62A3, AM62A3-Q1, AM62A7, and AM62A7-Q1 single to quad-core Cortex-A53 processors support one to two cameras at less than 2W in applications such as video doorbells and smart retail systems. Equipped with a 1TOPS vision processor, the AM62A3 is the cheapest model of the family going for US$12 in 1,000-unit quantities. AM68A dual-core Cortex-A72 processor can handle one to eight cameras in applications like machine vision, with up to 8 TOPS of AI processing for video analytics. AM69A octa-core Cortex-A72 SoC supports up to 12 cameras and achieves up to 32 […]

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