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

Compact, fanless DIN-Rail Intel Core Ultra 5 235U/7 265U industrial PC targets AMR, robotics, and computer vision

ASUS IoT PE1000U is a compact (160 x 110 x 63 mm) fanless DIN-rail industrial Edge AI PC powered by an Intel Core Ultra 5 235U/ 7 265U (Series 2) processor and designed for AMR (Autonomous Mobile Robots), robotics, and computer vision applications. Housed in a fanless, MIL-STD-810H-rated, rugged IP40-rated chassis, the PE1000U supports SO-DIMM DDR5 memory, SATA and NVMe storage, features two 2.5GbE RJ45 ports, four USB ports, four COM ports, onboard CAN Bus and DIO interfaces, as well as DisplayPort and HDMI outputs for dual 4K display setups for HMI or machine-vision monitoring. As an industrial computer, it accepts a wide 9-36V DC power input, includes built-in ignition control, and can operate in environments with temperatures ranging between -25°C and 70°C. ASUS IoT PE1000U specifications: Arrow Lake SoC (one or the other) Intel Core Ultra 5 235U CPU – 12-core (2P+8E+2LPE) / 14 threads processor @ 2.0 GHz […]

February 6, 2026February 6, 2026 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

$199+ M5Stack AI Pyramid Computing Box Linux AI mini PC is based on Axera AX8850 SoC

Axera AX8850 Linux Mini PC 4GB RAM Transparent case

M5Stack has just launched the “AI Pyramid Computer Box” AI mini PC powered by an Axera AX8850 octa-core Cortex-A55 SoC with a 24 TOPS NPU and featuring an unusual design since it’s housed in a pyramidal enclosure. The mini PC features 4GB or 8GB of RAM, 32GB eMMC flash, a microSD card slot, two HDMI 2.0 ports (see specs for details), a 4-mic array, a built-in speaker, two Gigabit Ethernet ports, four USB 3.2 ports, and two USB-C ports for data and power. It serves as a desktop-grade Edge AI computing platform for systems such as AI vision gateways, smart security systems, and local smart photo albums. M5Stack AI Pyramid Computing Box specifications: SoC – Axera AX8850 CPU – Octa-core Cortex‑A55 processor at 1.7 GHz NPU – 24 TOPS @ INT8 VPU Video Encoder – 8K @ 30 fps H.264/H.265 encoding, supports scaling / cropping Video Decoder – 8K @ 60 fps H.264/H.265 decoding, supports 16 channels 1080p parallel decoding, […]

February 4, 2026February 4, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

reComputer Jetson AGX Orin Developer Kit GMSL Bundle features 8x GMSL2 camera interfaces, 10GbE networking

Seeed Studio’s reComputer Jetson AGX Orin Developer Kit GMSL bundle is an NVIDIA Jetson AGX Orin 32GB/64GB equipped with eight GMSL2 camera interfaces through two FAKRA connectors. It’s based on the company’s reComputer Mini J501 carrier board – a smaller version of the reServer Industrial J501 – with 10GbE and GbE RJ45 ports, HDMI 2.1 video output, two USB 3.2 ports, two USB 2.0 Type-C Debug/Recovery ports, and fitted with a 128 M.2 NVMe SSD and an M.2 WiFi 5 and Bluetooth 5.0 module, besides the daughterboard with the GMSL2 camera interfaces. reComputer Jetson AGX Orin Developer Kit GMSL Bundle specifications: Supported system-on-modules (one or the other) NVIDIA Jetson AGX Orin 32GB with CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU and AI NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 930 MHz DL Accelerator – 2x […]

January 31, 2026January 31, 2026 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

M5Stack AI-8850 LLM Accelerator M.2 Kit offers an alternative to Raspberry Pi AI HAT+ 2

M5Stack has launched the “AI-88502 LLM Accelerator M.2 Kit 8GB Version” based on its LLM-8850 M.2 card with a 24 TOPS Axera AX8850 SoC, and offering an alternative to the Raspberry Pi AI HAT+ 2, supporting both LLM and AI vision workloads. The kit is comprised of the M.2 card and a Raspberry Pi-HAT 8850 board with USB PD power input for the card and Raspberry Pi 5, a 16-pin PCIe connector and 40-pin GPIO header for connection to the SBC, as well as accessories. M5Stack AI-8850 LLM accelerator M.2 kit specifications: M5Stack LLM‑8850 M.2 card SoC – Axera AX8850 CPU – Octa-core Cortex‑A55 processor at 1.7 GHz NPU – 24 TOPS @ INT8 VPU Video Encoder – 8K @ 30 fps H.264/H.265 encoding, supports scaling / cropping Video Decoder – 8K @ 60 fps H.264/H.265 decoding, supports 16 channels 1080p parallel decoding, supports scaling / cropping Memory (two options) 8GB 64‑bit LPDDR4x @ 4266 Mbps 4GB 64-bit LPDDR4x, 4266 Mbps (not […]

January 27, 2026January 27, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

MaixCAM2 modular 4K AI camera is based on Axera AX630 SoC with 3.2 TOPS NPU (Crowdfunding)

Designed for makers and researchers, Sipeed’s MaixCAM2 is a modular AI camera built around an Axera AX630 AI SoC with 3.2 TOPS (INT8) to 12.8 TOPS (INT4) of AI performance, yet delivering 10 to 20x higher performance on OpenMV-N6 and Raspberry Pi 5, and about the same performance (140 FPS) as a 33 TOPS Jetson Orin Nano 4GB Super in YOLO11n. The camera comes with 1GB or 4GB RAM, a 32GB eMMC flash, and a microSD card slot for storage, a 2.4-inch touchscreen display, and an 8MP / 4Kp30 camera sensor with LED flash, as well as two microphones and a speaker, making it suitable for local LLM and VLM applications. It also features two PMOD connectors for expansion, such as a thermal imager and a Time of Flight (ToF) ranging sensor. MaxiCAM2 specifications: SoC – Axera Tech AX630 CPU Dual-core Arm Cortex-A53 @ 1.2 GHz running Ubuntu Linux 32-bit […]

January 27, 2026January 28, 2026 by Debashis Das - No Comments

Lanner EAI-I351 – An NVIDIA Jetson Thor Edge AI computer with 100GbE QSFP28 port and 8x GMSL2 camera

Lanner EAI I351 Jetson Thor Edge AI computer with QSFP28 port

Lanner EAI-I351 is a rugged edge AI computer built around the NVIDIA Jetson Thor platform, featuring a 100GbE QSFP28 port for high-bandwidth networking and 8x GMSL2 camera inputs for low-latency vision processing. The system supports up to 128 GB of 256-bit LPDDR5X memory, features up to four 25GbE lanes via a QSFP28 port, a 5GbE RJ45 port, HDMI 2.0, four USB 3.2 Gen1 ports, two RS232/422/485 serial interfaces with optional CANBus, digital I/Os, and audio interfaces. Three expansion sockets are offered with an M.2 NVMe slot, an M.2 E-Key for Wi-Fi/Bluetooth, and an M.2 B-Key for 4G LTE/5G cellular with dual Nano-SIM support. Designed for industrial deployments, the embedded computer can operate in a –25°C to 70°C temperature range and takes 24V/48V DC power input. It targets robotics, smart manufacturing, and autonomous systems such as collaborative robots, AMRs, and machine-vision-based factory automation. Lanner EAI-I351 specifications: Supported system-on-module – NVIDIA Jetson […]

January 27, 2026January 26, 2026 by Debashis Das - 2 Comments

Hiwonder WonderLLM – An ESP32-S3 smart chat module with 2-inch touch display, 2MP camera, and dedicated voice chip

Hiwonder has introduced the WonderLLM, an ESP32-S3-based smart chat module that combines a 2MP camera, a 2.0-inch touch display, a speaker, and a microphone array to support both offline computer vision tasks and cloud-based Large Language Models (LLMs) via the XiaoZhi AI platform. The device ships with a dedicated voice chip (CI1302) that enables always-on wake-word detection, and a 4-pin I2C interface allows it to act as a smart vision/voice sensor for external controllers like Arduino, STM32, or other ESP32 boards. Typical applications include small robots, STEM education kits, interactive assistants, and vision-enabled projects where this device handles perception and interaction, and another MCU manages motion and control logic. Hiwonder WonderLLM specifications: Wireless Module – ESP32-S3-WROOM-1 SoC – Espressif Systems ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads RAM – 512KB SRAM Storage – TBD Wireless – WiFi 4 and Bluetooth LE 5 […]

January 26, 2026January 26, 2026 by Debashis Das - No Comments

Raspberry Pi CM5-based outdoor PoE security camera features 12.3 MP IMX500 sensor, IP66 enclosure

All in One Raspberry Pi AI Camera Kit with CM5 inside

Arducam recently launched the All-in-One Raspberry Pi AI Camera Kit with CM5, a Raspberry Pi CM5-based PoE outdoor security camera featuring a 12.3MP Sony IMX500 AI vision sensor housed in an IP66-rated enclosure. The camera combines pixel-level sensing and AI inference on a single chip, reducing the need for cloud processing while improving efficiency and privacy. The security camera supports operation from -20°C to +75°C, although image stability is only guaranteed in the 0 to 50°C range, potentially making it unsuitable for locations where temperatures drop below freezing. It can be used for perimeter security, construction site safety monitoring, traffic and parking enforcement, and public-space crowd analytics. All-in-One Raspberry Pi AI Camera Kit specifications SoM – Raspberry Pi Compute Module 5 (CM5) by default CM5004016 with 4GB RAM, 16GB eMMC Flash, no Wi-Fi and Bluetooth Image Sensor 12.3MP Sony IMX500 Intelligent Vision Sensor (as found on the Raspberry Pi AI camera) […]