Qualcomm Dragonwing Q‑7790 and Q‑8750 AIoT SoCs target AI-enhanced drones, cameras, TVs and media hubs

Dragonwing Q-7790

Qualcomm has made a range of announcements at CES 2026, and notably introduced the Dragonwing Q‑7790 and Q‑8750 processors supporting on‑device AI for drones, smart cameras & industrial vision, AI TVs/media hubs, and video collaboration systems. The mid-range Dragonwing Q-7790 targets both consumer and industrial IoT devices, and offers up to 24 TOPS of on-device AI, 4K video outputs and camera inputs, and AV1 hardware video decode. The higher-end Dragonwing Q-8750 is designed for more advanced IoT applications, delivers up to 77 TOPS (dense) for real-time inference and up to 11B LLMs, handles 8K displays and 8K cameras, and supports up to 12 physical cameras for drones, media hubs, and multi-angle vision systems. Dragonwing Q-7790 Dragonwing Q-7790 (CQ7790M/CQ7790S) specifications: CPU – Octa-core Kryo processor up to 2.8 GHz 1x Gold+ core @ 2.8 GHz 4x Gold cores @ 2.4 GHz 3x Silver cores @ 1.8 GHz GPU – Qualcomm Adreno […]

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 […]

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 […]

Rockchip RK628D based HDMI-to-MIPI-CSI board converts HDMI video into camera feed for embedded systems

Firefly HDMI to MIPI CSI adapter board

The Firefly HDMI-to-MIPI-CSI converter board converts an HDMI video and audio source into a MIPI-CSI camera stream for supported Rockchip SoCs, which is the complete opposite of the Olimex MIPI-HDMI adapter that converts MIPI DSI display signals to HDMI output. Built around the Rockchip RK628D video bridge chip, the board supports HDMI 1.4/2.0 input with 8-bit and 10-bit video, RGB888 and YUV420 color formats, and resolutions up to 4K @ 60fps. On the output side, it provides a MIPI-CSI interface compliant with MIPI D-PHY v1.2, with video output in YUV422 color format, supporting resolutions up to 4K @ 30fps. Audio output is available through a 3.5 mm headphone jack and onboard pin headers, making the board suitable for HDMI capture, smart display, micro-projector, and embedded video conversion applications. Firefly HDMI-to-MIPI-CSI board Specifications: Main Chip – Rockchip RK628D HDMI-to-MIPI CSI-2 converter Input HDMI 1.4 / HDMI 2.0 compliant 8-bit and 10-bit […]

Lattice Semi MachXO4 FPGA family offers up to 9400 LUTs, 448 kb user flash, improved “hot socketing”

MachXO4 development board

Lattice Semiconductor has recently launched the MachXO4 low-power FPGA family featuring 896 to 9400 LUTs, fabric performance of up to 150 MHz, and improved “hot socketing” with a low leakage current of 350 μA. Other features include up to 432 kb embedded RAM, 73 kb distributed RAM, 448 kb User Flash Memory (UFM), up to 382 I/Os, hardened SPI and I2C interfaces, a wide range of packages from 2.5×2.5mm to 20 x 20 mm, and three temperature grades (consumer, industrial, and automotive). Lattice Semi MachXO4 key features and specifications: FPGA Fabric 896 to 9400 LUTs 1,100 to 11,300 logic cells Up to 150 MHz operation Memory Embedded RAM – 64 kb to 432 kb Distributed RAM – 10 kb to 73 kb Storage – 64 to 448 kb User Flash Memory (UFM) I/O and peripherals Up to 382 I/O pins 1x Phased Lock Loop (PLL) Hardened functions: SPI, 2x I2C, […]

Auvidea X242 – An NVIDIA Jetson Thor T5000 industrial carrier board with dual 10GbE, PCIe x16, CSI-2 camera support

Auvidea X242 Carrier Board

Auvidea X242 is an industrial carrier board for NVIDIA’s Jetson Thor T5000 module, targeting edge AI, robotics, vision, and high-bandwidth embedded systems, mainly in industrial and high-performance commercial applications. The board supports dual 10GbE, PCIe x16 expansion, NVMe storage, 4G LTE/5G M.2, up to four displays through HDMI and DisplayPort Alt Mode over USB-C (rev 3), and multiple cameras through a 16-lane CSI-2 camera connector. The carrier board supports a wide 24–48 V power input with power modes up to 120 W. Industrial features include hot-swap control, reverse and over-voltage protection, and backward compatibility with earlier Auvidea Jetson platforms. Auvidea X242 Specifications: Supported system-on-module – NVIDIA Jetson Thor T5000 Storage – M.2 Key M 2280 socket (PCIe x2 Gen 5) for NVMe SSD Video Output HDMI port Up to 3x USB-C with DisplayPort Alt Mode Up to 4x displays supported simultaneously Camera – 16-lane CSI-2 camera connector, compatible with NVIDIA […]

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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