artificial intelligence (AI) News - Page 3 of 137 - CNX Software

January 6, 2026January 6, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

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

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 […]

January 4, 2026January 5, 2026 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

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

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 […]

December 31, 2025 by Kumpee Teeravech - No Comments

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

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 […]

December 30, 2025 by Debashis Das - 2 Comments

Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit for students, educators, and hardware enthusiasts looking for a rapid and powerful prototyping platform. The kit integrates an 11.6-inch IPS touchscreen, an 8MP servo-controlled gimbal camera, a voice interaction module, and 30 common electronics modules embedded in the kit. The company also provides 39 Python tutorials for sensor control, computer vision, and basic AI workflows. In addition to the display, camera, and audio features, the kit also includes expansion through I2C, UART, and GPIO. Jetson Orin Nano AI Starter Kit specifications: Main Board – NVIDIA Jetson Orin Nano (Not included in the kit) Display – 11.6-inch IPS touchscreen display with 1366 × 768 resolution Onboard modules Input modules Multimedia – 8MP IMX219-based camera with dual-servo gimbal (PTZ-style control) Sensors Temperature & humidity sensor Ultrasonic distance sensor PIR motion […]

December 24, 2025December 24, 2025 by Debashis Das - 2 Comments

Firefly CAM-3576 series – Tiny Rockchip RK3576 SBCs for commercial, industrial, and automotive applications

Firefly Technology has introduced the CAM-3576 series of tiny (38 × 38 mm) SBCs based on the Rockchip RK3576 processor with a 6 TOPS NPU for AIoT, edge AI, smart vision, industrial, and automotive applications. It comes in three variants, which include the CAM-3576Q38 (commercial), the CAM-3576JQ38 (industrial), and the CAM-3576MQ38 (automotive) modules designed for smart cameras, intelligent security systems, dash cams, and private on-device AI model deployment. The CAM-3576 series supports up to 16GB of LPDDR5 RAM, up to 256GB eMMC flash, and also includes a microSD card for expansion. Additionally, the boards feature a MIPI CSI input for up to 16MP camera sensors with HDR support, Fast Ethernet, Wi-Fi 6, USB 2.0, USB-C (device), RS-485, UART, I²C, ADC, GPIOs, audio input/output, and RTC support. Firefly CAM-3576Q38 specifications: SoM – ICORE-3576Q38 SoC – Rockchip RK3576 (Q38 – Commercial) or Rockchip RK3576J (JQ38 – Industrial) or Rockchip RK3576M (MQ38 – Automotive) […]

December 24, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

CrowPi 3 AI Learning Kit is powered by a Raspberry Pi 5 SBC, works with Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico boards

Elecrow CrowPi 3 is the latest CrowPi learning and development kit featuring 41 built-in modules and over 150 lessons, and offering compatibility with Raspberry Pi 5, Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico single board computers and development boards. It follows the CrowPi portable learning kit (Raspberry Pi 3B+/Zero), CrowPi 2 Raspberry Pi 4 electronics learning laptop, and CrowPi L laptop (Raspberry Pi 4 models), but the CrowPi 3 is the first to focus on Artificial Intelligence (AI) learning with a Raspberry Pi 5 and support for LLMs like DeepSeek, Google Gemini, and OpenAI chat besides courses about electronics and computer vision. CrowPi 3 specifications: Compatible boards Raspberry Pi 5 (required) – Broadcom BCM2712 quad-core Arm Cortex-A76, up to 2.4GHz, 4GB or 8GB RAM. OS: Raspberry Pi OS (Debian Linux) or others Optional via headers or slots Arduino Nano Raspberry Pi Pico 1/1 W/2/2 W BBC micro:bit Display – […]

December 23, 2025December 23, 2025 by Debashis Das - 1 Comment

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

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 […]

December 22, 2025December 21, 2025 by Debashis Das - No Comments

Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

Forlinx Embedded has recently released the FCU3011, a compact, fanless industrial AI edge computer built around the NVIDIA Jetson Orin Nano, designed for 24/7 operations in manufacturing, smart cities, robotics, and machine vision systems, where real-time processing is needed. The fanless system supports NVIDIA Jetson Orin Nano 4GB (34 TOPS) or 8GB (up to 67 TOPS) configurations, with 4GB/8GB LPDDR5 memory and a 128GB PCIe x4 NVMe SSD. Connectivity options include up to four Gigabit Ethernet ports, USB 3.0/2.0, HDMI 2.0 (4K), an SD card slot, optional 4G/5G and dual-band Wi-Fi via M.2 modules, along with industrial interfaces such as isolated RS-485, CAN, opto-isolated inputs, relay outputs, and an RTC. The system takes a wide 9–24V DC power input, features ESD-protected interfaces, and can be used for AGVs, visual inspection, smart factories, intelligent traffic analysis, medical devices, and small commercial robots. Forlinx FCU3011 specifications: SoM options NVIDIA Jetson Orin Nano […]