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Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on NV8600-Nano AI Developer Kit features NVIDIA Jetson Orin Nano 8GB, quad GbE, Raspberry Pi Camera Module 2

NV8600-Nano AI Developer Kit features NVIDIA Jetson Orin Nano 8GB, quad GbE, Raspberry Pi Camera Module 2

AAEON NVIDIA Jetson Orin Nano Developer Kit Raspberry Pi Camera Modules

AAEON NV8600-Nano AI Developer Kit is based on a 67 TOPS NVIDIA Jetson Orin Nano 8GB and ships with a carrier board with quad GbE, a Raspberry Pi Camera Module 2, a fan kit (heatsink with fan), and a 60W power adapter. The carrier board is also equipped with a 256GB M.2 2280 M-key NVMe SSD, a SATA connector, HDMI 1.4 video output, two MIPI CSI connectors compatible with Raspberry Pi Camera Modules, six USB 3.2 Gen 2 Type A ports, a few serial interfaces, a 40-pin GPIO header compliant with the Jetson Orin Nano (Super) developer kit, and two more M.2 sockets for wireless/cellular expansion. NV8600-Nano AI Developer Kit specifications: NVIDIA Jetson Orin Nano 8GB Module CPU – 6-core Arm Cortex-A78AE v8.2 64-bit CPU @ 1.7 GHz with 1.5MB L2 + 4MB L3 GPU – 1,020 MHz NVIDIA Ampere architecture with 1024 CUDA cores and 32 tensor cores Video […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 6 Comments on FourThirdsEye is an open-source hardware 10.7MP IMX294 camera module for the Raspberry Pi 5/CM4

FourThirdsEye is an open-source hardware 10.7MP IMX294 camera module for the Raspberry Pi 5/CM4

FourThirdEyes IMX294 camera module Raspberry Pi 5

Will Whang’s FourThirdsEye project is an open-source hardware camera module designed for Raspberry Pi 5 SBC and Raspberry Pi Compute Module 4 SoM using a Sony IMX294 Type 4/3 CMOS image sensor. The camera module can capture 10.7 MP images and 4K (4096 x 2160) videos with improved low-light performance and dynamic range (4.63 μm pixel size) compared to existing Raspberry Pi camera modules. Will claims it’s perfect for photography enthusiasts, developers, and makers who want a more powerful camera for their Raspberry Pi projects. FourThirdsEye camera module specifications: Sony IMX294 sensor Output image size – Diagonal 21.63 mm (Type 4/3) aspect ratio 17:9 & 4:3 Number of effective pixels 4168 (H) × 2176 (V) approx. 8.93M pixels (aspect ratio 17:9) 3792 (H) × 2824 (V) approx. 10.71M pixels (aspect ratio 4:3) Unit cell size – 4.63 μm (H) × 4.63 μm (V) Optical blacks Horizontal – Front: 0 pixels, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

ZED Box Mini

Stereolabs ZED Box Mini “Super” is a compact mini PC based on NVIDIA Jetson Orin Nano or NX system-on-module and equipped with two GMSL2 camera inputs with synchronization trigger input/output, enabling AI Vision processing for robotics and smart infrastructure. The AI vision mini PC / embedded computer unit (ECU) also features a 256GB SSD, HDMI 1.4/2.1 video output, a gigabit Ethernet port, an optional Intel AX201 wireless module with two external antennas, a USB 3.0 port, a micro USB port for flashing the OS, and a 10-pin GPIO header with CAN Bus and UART for expansion. ZED Box mini specifications: System-on-Module (one or the other) NVIDIA Jetson Orin Nano 4GB | 34 TOPS NVIDIA Jetson Orin Nano 8GB | 67 TOPS NVIDIA Jetson Orin NX 8GB | 117 TOPS NVIDIA Jetson Orin NX 16GB | 157 TOPS Storage – 256GB SSD inserted in M.2 Key-M 2242 socket Video Output – […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Teledyne Tetra 2.5 GbE line scan camera supports up to 8K resolution for machine vision applications

Teledyne Tetra 2.5 GbE line scan camera supports up to 8K resolution for machine vision applications

Teledyne Tetra line scan camera

Teledyne DALSA has recently announced the Tetra line scan camera family with 2.5GbE networking, up to 8K resolution, a line rate of up to 150 kHz, and offered in monochrome or color versions. Traditional cameras (aka scan camera) will capture a full frame, but line scan cameras will only capture one line at a time to scan an object or scene as it moves past the camera providing higher resolution image provided the speed of the scan and the motion of the object are syncrhonized, for instance, on a production line. Line scan cameras like the Tetra are typically used for quality control at the factory,  document scanning, license plate scanning, and scientific research (e.g. satellite imaging).   Teledyne Tetra specifications: Color cameras Tetra 2k Color  – TL-GC-02K05T-00 Resolution – 2048 x 3 Pixel size – 14 μm Max line rate – 50 kHz x 3 Tetra 4k Color –  […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 10 Comments on Mini UPS with 5V, 9V, 12V DC, and PoE output could be useful for routers, security cameras, SBCs, and mini PCs

Mini UPS with 5V, 9V, 12V DC, and PoE output could be useful for routers, security cameras, SBCs, and mini PCs

Mini Uninterruptible Power Supply DC USB PoE

Most uninterruptible power supplies (UPS) require AC voltage and use specific batteries that must be changed every few years. But those may be oversized and not the most efficient if you just want to keep single board computers (SBCs), low-power mini PCs, routers, or security cameras up and running during power failures. Luckily, some mini UPS solutions use standard rechargeable 18650 batteries, output 5V, 9V, or 12V DC, or even PoE (15V/24V) which may be more suitable for those use cases. Many mini UPS solutions come from WGP (Wonderful Green Power), so let’s have a look at the WPG103A model. WPG103A mini UPS specifications: Batteries – 4x 18650 batteries for a combined 10,400 mAh capacity Protection – Overcharge, over-discharge, overcurrent, and short circuit protection Misc – Power button, status LEDs Power Input – 12V/2A via DC jack Power Output 5V via USB Type-A port (likely limited to 1.5A or 2A […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on MicroPython-programmable OpenMV N6 and AE3 AI camera boards run on battery for years (Crowdfunding)

MicroPython-programmable OpenMV N6 and AE3 AI camera boards run on battery for years (Crowdfunding)

OpenMV AE3 and N6 AI cameras

OpenMV has launched two new edge AI camera boards programmable with MicroPython: the OpenMV AE3 powered by an Alif Ensemble E3 dual Cortex-M55, dual Ethos-U55 micro NPU SoC, and the larger OpenMV N6 board based on an STMicro STM32N6 Cortex-M55 microcontroller with a 1 GHz Neural-ART AI/ML accelerator. Both can run machine vision workloads for several years on a single battery charge. The OpenMV team has made several MCU-based camera boards and corresponding OpenMV firmware for computer vision, and we first noticed the company when they launched the STM32F427-based OpenMV Cam back in 2015. A lot of progress has been made over the years in terms of hardware, firmware, and software, but the inclusion of AI accelerators inside microcontrollers provides a leap in performance, and the new OpenMV N6 and AE3 are more than 100x faster than previous OpenMV Cams for AI workloads. For example, users can now run object […]

Posted on by Debashis Das - No Comments on IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N low power AI SBC

IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2,  as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on UNIHIKER K10 low-cost TinyML education platform supports image detection and voice recognition

UNIHIKER K10 low-cost TinyML education platform supports image detection and voice recognition

UNIHIKER K10

UNIHIKER K10 is a low-cost STEM education platform for TinyML applications that leverages the ESP32-S3 wireless microcontroller with vector extensions for workloads such as image detection or voice recognition. The UNIHIKER K10 also features a built-in 2.8-inch color display, a camera, a speaker, a 2-microphone array, a few sensors, a microSD card, and a BBC Micro:bit-like edge connector for power signals and GPIOs. It’s a cost-optimized version of its Linux-based big brother – the UNIHIKER M10 – first unveiled in 2022. Arnon also reviewed the UNIHIKER in 2023, showing how to configure it, use the SIoT platform with MQTT message, and program it with Jupyter Notebook, Python, or Visual Studio Code. Let’s have a closer look at the new ESP32-S3 variant. UNIHIKER K10 specifications: Core module – ESP32-S3-WROOM-1 MCU – ESP32-S3N16R8 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 8MB PSRAM, 16MB flash Wireless – WiFi 4 and […]

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