NanoCOM-ADN – A COM Express Type 10 Module based on Intel Alder Lake-N SoC

AAEON NanoCOM-ADN COM Express module

AAEON NanoCOM-ADN is a compact (84 x 55mm) COM Express Type 10 module based on Intel Alder Lake-N SoCs, namely Processor N50/N97, Atom x7425E, or Core i3-N305 that adds another option to the SMARC, Qseven, and COM Express Type 6 modules offered by the company with the same processors. The NanoCOM-ADN computer-on-module features up to 16GB LPDDR5x soldered-on memory, up to 64GB eMMC flash, and two Intel i226-V 2.5GbE controllers. Its standard 220-pin COM Express board-to-board connector exposes two SATA interfaces, four PCIe Gen3 x1 interfaces, DDI and LVDS video outputs, eight USB interfaces, and more. AAEON explains the Alder Lale-N COM Express Type 10 CPU module is especially suited to digital signage, healthcare imaging, machine vision, industrial, robotics, and edge computing applications.   AAEON NanoCOM-ADN specifications: Alder Lake N-series SoC (one or the other) Intel Atom x7425E quad-core processor up to 3.4 GHz with 6MB cache, 24EU Intel UHD […]

Raspberry Pi 5 edge AI computer ships with 8GB RAM, Hailo-8 AI module, supports Frigate NVR

Raspberry Pi 5 Edge AI computer

Seeed Studio’s reComputer AI R2130-12 is an Edge AI computer with a Raspberry Pi 5 SBC with 8GB RAM and a Hailo-8 module with 26 TOPS of AI performance, suitable for video analytics, machine vision, and intelligent edge computing. The computer comes with a HAT+ with two M.2 sockets, one occupied by the Hailo-8 AI accelerator and the other available for an M.2 NVMe SSD. In some ways, it’s just a nicely packaged Raspberry Pi 5 SBC with Hailo-8 AI accelerator that we reviewed last year. reComputer AI R2130-12 specifications: SBC – Raspberry Pi 5 with 8GB RAM AI Processor – Hailo-8 M.2 AI accelerator module with 26 TOPS Storage microSD card slot, with support for high-speed SDR104 mode Optional M.2 NVMe SSD via M.2 PCIe 3.0 slot Video Output – 2x micro HDMI ports up to 4Kp60 Camera/Display I/F – 2x 4-lane MIPI camera/display transceivers Networking Gigabit Ethernet RJ45 […]

STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STM32N6 AI Demo

STMicro has announced the availability of the STM32N6 microcontroller series based on the 800MHz ARM Cortex-M55 and the 600 GOPS-capable Neural-ART Accelerator. The STM32N6 is the company’s “newest and most powerful STM32 series,” bringing MPU-level performance to MCUs. It is the first STM32 to feature the Arm Cortex-M55 and offer up to 4.2MB of embedded RAM. Additionally, the chip includes ST’s NeoChrom GPU and an H.264 hardware encoder. According to Remi El-Quazzane, MDRF (Microcontrollers, Digital ICs, and RF Products) President at STMicro, the STM32N6 “marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.” STMicro offers two versions of the STM32N6 MCU: the STM32N6x7 AI line featuring the Neural-ART accelerator and the STM32N6x5 GP (general-purpose) product line without an NPU. The microcontroller series is primarily targeted at computer vision and audio […]

Lattice unveils Nexus 2 small FPGA platform, Lattice Avant 30 and Avant 50 mid-range devices, updated Lattice design software tools

Lattice Nexus 2

Lattice Semiconductors announced several new FPGAs and software tools at the Lattice Developers Conference 2024 which took place on December 10-11. First, the company unveiled the Nexus 2 small FPGA platform starting with the Certus-N2 general-purpose FPGAs offering significant efficiency and performance improvements in this category of devices. The Lattice Avant 30 and Avant 50 were also introduced as mid-range FPGA devices with new capacity options to enable edge-optimized and advanced connectivity applications. Finally, the company releases new versions of Lattice design software tools and application-specific solution stacks to help accelerate customer time-to-market such for edge AI, embedded vision, factory automation, and automotive designs with Lattice Drive. Let’s have a look at the highlights of each announcement. Lattice Nexus 2 small FPGA platform and Certus-N2 FPGA Highlights and benefits of the Lattice Nexus 2 small FPGA platform: Power Efficiency against similar class competitive devices Up to 3x lower power Up […]

Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed MaixCAM Pro AI camera devkit

Sipeed has recently released the MaixCAM-Pro AI camera devkit built around the SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC which also features a 1 TOPS NPU for AI tasks. The module includes a 2.4-inch color touchscreen and supports up to a 5MP camera module. Other features include WiFi 6, BLE 5.4, optional Ethernet, built-in audio capabilities, a PMOD interface, GPIOs, and more. Additionally, it features an IMU, RTC chip, and AXP2101 power management for enhanced performance. The module is designed for AI vision, IoT, multimedia, and real-time processing applications. Just a few months back, Sipeed introduced the MaixCAM AI camera devkit, which is also built around the SOPHGO SG2002 RISC-V SoC. The new module improves on the MaixCAM with a redesigned PCB, upgraded casing, and various new features including a 2.4-inch IPS touchscreen (640×480), a 1W speaker, expanded IO interfaces, a power button, and an illumination LED. It also […]

SONOFF CAM Slim Gen2 Review – A tiny indoor security camera tested with eWeLink and Home Assistant

SonoffCAMSlim2 Cover

We have received the latest tiny indoor security camera from SONOFF: the second generation of the CAM Slim series known as the CAM Slim Gen2 (or CAM S2 for shorts). Some of you might remember the first-generation CAM Slim model reviewed by Jean-Luc about two years ago. The Gen2 version keeps the same 1080p resolution but comes with several upgraded features, including AI algorithms to distinguish living beings, customizable detection zones, customizable privacy zones, sleep mode, enhanced low-light image quality, and flexible storage management. Although it’s packed with several enhancements, its price is lower than the Gen1. Let’s delve into the details! SONOFF CAM Slim Gen2 unboxing Inside the box, you’ll find a compact manual, a USB-C cable, a mounting kit, and a sticker template acting as a drilling guide. The camera is smaller than your palm and comes mounted on a versatile, rotatable base, making installation in various positions […]

Getting Started with Raspberry Pi AI HAT+ (26 TOPS) and Raspberry Pi AI camera

Raspberry Pi AI HAT+ and AI camera review

Raspberry Pi recently launched several AI products including the Raspberry Pi AI HAT+ for the Pi 5 with 13 TOPS or 26 TOPS of performance and the less powerful Raspberry Pi AI camera suitable for all Raspberry Pi SBC with a MIPI CSI connector. The company sent me samples of the AI HAT+ (26 TOPS) and the AI camera for review, as well as other accessories such as the Raspberry Pi Touch Display 2 and Raspberry Pi Bumper, so I’ll report my experience getting started mostly following the documentation for the AI HAT+ and AI camera. Hardware used for testing In this tutorial/review, I’ll use a Raspberry Pi 5 with the AI HAT+ and a Raspberry Pi Camera Module 3, while I’ll connect the AI camera to a Raspberry Pi 4. I also plan to use one of the boards with the new Touch Display 2. Let’s go through a […]

Mercury X1 wheeled humanoid robot combines NVIDIA Jetson Xavier NX AI controller and ESP32 motor control boards

Mercury X1 wheeled humanoid robot

Elephant Robotics Mercury X1 is a 1.2-meter high wheeled humanoid robot with two robotic arms using an NVIDIA Jetson Xavier NX as its main controller and ESP32 microcontrollers for motor control and suitable for research, education, service, entertainment, and remote operation. The robot offers 19 degrees of freedom, can lift payloads of up to 1kg, work up to 8 hours on a charge, and travel at up to 1.2m/s or about 4.3km/h. It’s based on the company’s Mercury B1 dual-arm robot and a high-performance mobile base. Mercury X1 specifications: Main controller – NVIDIA Jetson Xavier NX CPU – 6-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 caches GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI accelerators – 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s Storage – 16 […]

UP 7000 x86 SBC