Allwinner V861 dual-core 64-bit RISC-V AI Camera SiP features 128MB DDR3L, 4K H.265/H.264 video encoder

Allwinner V861 Block Diagram

Allwinner V861 is a new dual-core 32-bit/64-bit RISC-V C907 system-in-package (SiP) with 128MB on-chip DDR3L and designed for 4K AI camera applications with a 1 TOPS AI NPU. The chip also features a 32-bit RISC-V E907 low-power core, a 4Kp25 H.264/H.265 video encoder, a 1080p60 JPEG video decoder and encoder, MIPI CSI and parallel camera interfaces, audio codec with input and output interfaces, Fast Ethernet, USB 2.0, and a range of digital and analog I/Os. Allwinner V861M3-XXX specifications: CPU Dual-Core RISC-V XuanTie C907 (RV64GCBV/RV32GGCBV) clocked up to 1.4GHz with RVV 1.0 extensions Single-core RISC-V XuanTie E907 (RV32IMAFC) clocked up to 800MHz VPU Video Encoder H.264/H.265 up to  4K @ 25fps (M)JPEG up to 8192×8192 Video Decoder – (M)JPEG up to 1080p60 AI accelerator – 1 TOPS (INT8) NPU dubbed “AI-ISP 2.0” Memory 128MB DDR3/DDR3L (SiP) “SQPI” PSRAM interface Storage QSPI flash eMMC 4.41 SDIO 2.0/3.0 Display – SPI interface Camera […]

WCH CH32H417 dual-core RISC-V MCU offers USB 3.0, 500MB/s UHSIF, and Fast Ethernet interfaces

CH32H417 block diagram

WCH CH32H417 is a high-performance dual-core RISC-V microcontroller clocked at up to 400 MHz with up to 960 KB flash, 896KB SRAM, and a range of interfaces, including a 5 Gbps USB 3.0 Host/Device SuperSpeed interface. Other notable features include a 500MB/s UHSIF (Universal High Speed Interface), 10/100Mbps Ethernet MAC and PHY, a SerDes high-speed isolated transceiver, a USB 2.0 High-Speed Host/Device, a USB 2.0 OTG Full Speed, USB PD support, and Display and Camera interfaces. The CH32H417 also offers the usual low-speed I/Os (95x GPIO, SPI…) and analog inputs and outputs (ADC/DAC). WCH CH32H417 CH32H417 specifications: Cores (Coremark: 5.73/MHz) QingKe RISC-V5F up to 400 MHz QinKe RISC-V3F up to 144 MHz GPU – Graphics Processing Hardware Accelerator GPHA Memory – 896KB SRAM Storage 960KB Flash 200MHz dual-edge SD/EMMC controller (SDMMC) SDIO master/slave interface with support for SD/SDIO/MMC Flexible Storage Controller FMC Display – DCT-TFT Display Controller LTDC Camera I/F […]

Year 2025 in Review, CNX Software stats, and looking ahead to 2026

Happy New Year 2026 CNX Software

Time for the last post of 2025, as the year is almost over. I’ll look back at key developments and notable products launched in 2025, share some CNX Software website traffic statistics, and look ahead to 2026. Year 2025 in Review After 22 product releases in 2024, Raspberry Pi calmed down a little bit in 2025, and the highlights of the year included the Raspberry Pi 500+ mechanical keyboard, the 5-inch variant of the Raspberry Pi Touch Display 2, and a Raspberry Pi 5 1GB RAM. What didn’t quite stop were the accessories from third parties for Raspberry Pi SBC and Raspberry Pi Pico boards. The most exciting Arm SoC release of 2025 was probably the 12-core CIX P1 Armv9 SoC found in Radxa Orion O6 SBC, MINISFORUM MS-R1 Arm mini PC, and Orange Pi 6 Plus board, but while performance was fine, it was overhyped in 2024, and software […]

VisionFive 2 Lite SBC Review – Ubuntu 24.04 on a low-cost RISC-V SBC in 2026

VisionFive 2 Lite RISC-V SBC Ubuntu Review 2026

StarFive has sent me a sample of the VisionFive 2 Lite RISC-V SBC for review. It’s a low-cost credit card-sized board based on the StarFive JH7110S quad-core RISC-V SBC and designed to get started with Linux RISC-V on the cheap. When I first tested the earlier VisionFive 2 SBC with a StarFive JH7110 RISC-V SoC in February 2023, I didn’t call it a review, but rather a hands-on experience, since, at the time, many features still didn’t work properly. Almost three years have passed since then, so reviewing the VisionFive 2 Lite SBC with Ubuntu 24.04 will allow us to see how much progress has been made on the software side. If you are in a rush, you can jump to the what works, what doesn’t section. VisionFive 2 Lite unboxing I received the board in a plastic box with a cover reading “VisionFive 2 Lite Your Gateway to RISC-V”. […]

DFRobot HUSKYLENS 2 AI camera review – From built-in AI samples to training a custom model to detect elephants

Huskylens 2 Ai camera review

Hello, today I am going to review the HUSKYLENS 2, released in October 2025. It is the next generation of HUSKYLENS, an AI vision sensor equipped with a Kendryte K230 dual-core RISC-V SoC with a 6 TOPS AI accelerator and a 2.4-inch IPS touchscreen. The device runs machine vision algorithms fully on-device, providing fast and low-latency performance, and includes more than 15 built-in AI models. HUSKYLENS 2 also supports deploying custom-trained models, including integration with Large Language Models (LLMs) via a Model Context Protocol (MCP) service. In addition, it is compatible with various microcontrollers, such as Arduino and Raspberry Pi, through UART or I2C communication interfaces. HUSKYLENS 2 unboxing The manufacturer sent the HUSKYLENS 2 module and the Microscope Lens separately. Both parcels were shipped from Chengdu, China, and arrived at my office in Chanthaburi, Thailand, in about one week. The parcels were packed in standard cardboard boxes and arrived […]

Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module

Bit Brick Cluster K1

Bit-Brick Cluster K1 is a cluster board designed to mount up to four SSOM-K1 system-on-modules powered by a SpacemiT K1 octa-core RISC-V processor. The board targets developers, researchers, and system integrators working on edge computing, AI workloads, and high-performance embedded applications. The Cluster K1 relies on an onboard Gigabit Ethernet switch chip to interconnect four core boards, giving each board an independent network port for fast and stable inter-node communication with automatic IP assignment. Other key features include USB 3.0/2.0 ports, HDMI output (master slot only), a USB Type-C debug port, an M.2 M-Key slot for storage expansion, a 3-pin fan power header, and dedicated power, reset, and download buttons. The SSOM-K1 system-on-module features a K1 octa-core 64-bit RISC-V CPU with vector extension and AI acceleration up to 2 TOPS. It ships with up to 8GB dual-channel LPDDR4X memory, up to 64GB eMMC flash, and offers dual Gigabit Ethernet, HDMI 1.4 […]

ESP32-P4 learning and prototyping kit features 7-inch touchscreen, comes with 16 modules and AI lessons

Elecrow ESP32 P4 learning and prototyping Kit

Elecrow’s “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 processor, offering AI, multimedia, and embedded features in a single, self-contained kit designed for students, educational institutions, and developers for rapid prototyping. The open hardware kit integrates a 7-inch touchscreen display, a 2MP camera, and sixteen built-in electronic modules, supported by over 20 structured lessons that progressively cover I/Os, audio, LVGL GUI development, and basic AI use cases. Development is done in C using Espressif’s ESP-IDF framework, ready-to-build examples, and modular BSP drivers, making the kit suitable for learning embedded systems, IoT device control, human-machine interfaces, smart home concepts, and entry-level Edge AI applications. All-in-one Starter Kit for ESP32-P4 kit specifications: Wireless MCU – ESP32-P4NRW32 MCU Dual-core RISC-V microcontroller @ 400 MHz with AI instructions extension and single-precision FPU Single-RISC-V LP (Low-power) MCU core @ up to 40 MHz GPU – 2D Pixel […]

Compact development board features a single ESP32-P4 + ESP32-C5 dual-band Wi-Fi 6 module, MIPI display and camera interfaces

WTDKP4C5 S1, ESP32 P4 and ESP32 C5 WI FI6 Development Board

Just a few months back, Wireless-Tag released the WT99P4C5-S1, which combines the ESP32-P4 with an ESP32-C5 dual-band WiFi 6 module, instead of the more commonly used ESP32-C6 wireless module found on most ESP32-P4 development boards we’ve covered. The company has now released the WTDKP4C5-S1, a more compact development board built around the WT01P4C5-S1 ESP32-P4 and ESP32-C5 core module. The board supports MIPI-CSI and MIPI-DSI through the ESP32-P4, while the SDIO-connected ESP32-C5 provides dual-band Wi-Fi 6 (2.4/5 GHz) connectivity along with BLE 5, Zigbee, Thread, and Matter. Other features include a USB 2.0 Type-C OTG port, two UART debug interfaces, two 40-pin GPIO breakouts from both chips, and various power options via USB-C, a 12V DC input, or headers. The board is suitable for LVGL-based HMIs, data acquisition, industrial control, and Edge AI applications such as IPCs and smart displays. Wireless Tag WTDKP4C5-S1 specifications: Core module – Wireless Tag WT01P4C5-S1 Main […]

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