Raspberry Pi Camera Module 3 launched with autofocus and HDR

Raspberry Pi Camera 3

Raspberry Pi Trading has launched the Camera Module 3, their first camera module supporting autofocus and HDR, designed to work with all Raspberry Pi boards that can take a camera, and offered with either a standard or wide field-of-view, and an optional infrared cut filter. All four variants of the new camera module are equipped with a Sony IMX708 12MP sensor that supports high-dynamic range (HDR) and features phase detection autofocus. The Camera Module 3 has the same X/Y dimensions and mounting holes as the popular Camera Module 2 launched in 2016, but is several millimeters taller due to the improved optics. Raspberry Pi Camera Module 3 specifications: 12MP Sony IMX708 back-illuminated and stacked CMOS image sensor Sensor size – 7.4mm diagonal Pixel size: 1.4μm x 1.4μm Resolution  – 4608 x 2592 pixels FoV – See comparison table between different models below Common video modes: 1080p50, 720p100, 480p120 Autofocus system: […]

GL.iNet GL-MT3000 pocket-sized Wi-Fi 6 Router review – Part 1: Specs, unboxing, and teardown

GL-MT3000 portable WiFi 6 router

GL.iNet Beryl AX (GL-MT3000) is a pocket-sized Wi-Fi 6 router running OpenWrt on a MediaTek MT7981B (Filogic 820) dual-core processor @ 1.3 GHz and equipped with a 2.5GbE port, a Gigabit Ethernet port, and a USB 3.0 port. The hardware is basically the same as the Brume 2 (GL-MT2500A) security gateway, except it adds support for WiFi 6 connectivity and as an AX3000 router more than doubles the bandwidth compared to the earlier Beryl (GL-MT1300) AC1300 router. The company has sent me a sample so I’ll start the two-part review by checking the specifications, doing an unboxing, and tearing it down to have a closer look at the hardware design, before trying out OpenWrt and testing WiFi 6 and 2.5GbE performance in the second part of the review. GL.iNet GL-MT3000 specifications Beryl AX specifications: SoC – MediaTek MT7981B (Filogic 820) dual-core processor @ 1.3 GHz System Memory – 512MB DDR4 […]

Orbbec Femto Mega 3D depth and 4K RGB camera features NVIDIA Jetson Nano, Microsoft ToF technology

Femto Mega 3D camera

Orbbec Femto Mega is a programmable multi-mode 3D depth and RGB camera based on NVIDIA Jetson Nano system-on-module and based on Microsoft ToF technology found in Hololens and Azure Kinect DevKit. As an upgrade of the earlier Orbbec Femto, the camera is equipped with a 1MP depth camera with a 120 degrees field of view and a range of 0.25m to 5.5m as well as a 4K RGB camera, and enables real-time streaming of processed images over Ethernet or USB. Orbbec Femto Mega specifications: SoM – NVIDIA Jetson Nano system-on-module Cameras 1MP depth camera Precision: ≤17mm Accuracy: < 11 mm + 0.1% distance NFoV unbinned & binned:H 75°V 65° WFoV unbinned & binned:H 120°V 120° Resolutions & framerates NFoV unbinned: 640×576 @ 5/15/25/30fps NFoV binned: 320×288 @ 5/15/25/30fps WFoV unbinned: 1024×1024 @ 5/15fps NFoV binned: 512×512 @ 5/15/25/30fps 4K RGB camera FOV – H: 80°, V: 51°b D: 89°±2° Resolutions […]

NXP i.MX 95 processor features Cortex-A55, Cortex-M33, and Cortex-M7 cores, eIQ Neutron NPU

NXP i.MX 95 CPU

NXP i.MX 95 is an upcoming Arm processor family for automotive, industrial, and IoT applications with up to six Cortex-A55 application cores, a Cortex-M33 safety core, a Cortex-M7 real-time core, and NXP eIQ Neutron Neural Network Accelerator (NPU). We’re just only starting to see NXP i.MX 93 modules from companies like iWave Systems and Forlinx, but NXP is already working on its second i.MX 9 processor family with the i.MX 95 application processor family equipped with a higher number of Cortex-A55 cores, an Arm Mali 3D GPU, NXP SafeAssure functional safety, 10GbE, support for TSN, and the company’s eIQ Neutron Neural Processing Unit (NPU) to enable machine learning applications. NXP i.MX 95 specifications: CPU Up to 6x Arm Cortex-A55 cores with 32KB I-cache, 32KB D-cache, 64KB L2 cache, 512KB L3 cache with ECC 1x Arm Corex-M7 real-time core with 32KB I-cache, 32KB D-cache, 512KB TCM with ECC 1x Arm Cortex-M33 […]

Forlinx FET-MX9352-C – An NXP i.MX 9352 system-on-module for industrial AIoT applications

Forlinx FET-MX9352-C System-on-Module

Forlinx FET-MX9352-C is a system-on-module based on NXP i.MX 9352 dual Cortex-A55 processor with Cortex-M33 real-time core and a 0.5 TOPS AI accelerator that can be used for industrial control, IoT gateways, medical equipment, and various applications requiring machine learning acceleration. The FET-MX9352-C follows last week’s announcement of the iWave Systems iW-RainboW-G50M OSM module and SBC with a choice of NXP i.MX 93 processors. The Forlinx module comes with two board-to-board connectors instead of solderable pads and can be found in the OK-MX9352-C single board computer with dual GbE, various display and camera interfaces, RS485 and CAN Bus, etc… FET-MX9352-C i.MX 9352 system-on-module Specifications: SoC – NXP i.MX 9352 with 2x Arm Cortex-A55 cores @ up to 1.7GHz (commercial) or 1.5 GHz (industrial), Cortex-M33 real-time core @ 250 MHz, 0.5 TOPS Arm Ethos U65 microNPU System Memory – 1GB/2GB LPDDR4 RAM Storage – 8GB eMMC flash 2x high-density 100-pin board-to-board […]

COM Express & COM-HPC modules features Intel 13th gen Raptor Lake embedded processors

Express-RLP Raptor Lake-P COM Express

ADLINK has just announced the Express-RLP COM Express Type 6 and COM-HPC-cRLS COM-HPC size C modules based on the new Intel 13th generation Raptor Lake hybrid processors with Embedded and Industrial SKUs. The Express-RLP comes with an up to 14 cores, 20 threads Raptor Lake-P processor, 64GB DDR5 SO-DIMM, and PCIe Gen4, while the COM-HPC-cRLS offers up to a 24-core Rasptor Lake-S embedded processor, 128GB DDR5 SO-DIMM, PCIe Gen5, and 2x 2.5GbE LAN. Both modules support Intel TCC, and Time Sensitive Networking (TSN), and are suitable for hard real-time computing workloads required by applications such as industrial automation, autonomous driving, AI robots, and aviation. Express-RLP Raptor Lake-P COM Express module Specifications: Raptor Lake-P SoC (one of the other) Intel Core i7-13800HRE 6P+8E cores/20 threads processor @ up to 2.5 GHz with 24MB cache, Intel Iris Xe graphics; TDP: 45W (cTDP: 35W) Intel Core i7-1370PRE 6P+8E cores/20 threads processor @ up […]

MediaTek Genio 700 Cortex-A78/A55 IoT processor targets industrial and Smart Home applications

MediaTek Genio 700

MediaTek Genio 700 is an octa-core Arm processor with two Cortex-A78 cores, six Cortex-A55 cores, a Mali-G57 GPU, and a 4 TOPS AI accelerator designed for consumer and industrial IoT applications. The new processor is a cost-down version of the Genio 1200 premium AIoT processor introduced last year with four Cortex-A78 and four Cortex-A55 cores. The Genio 700 offers many of the same features but with lower performance/capabilities, including a 3-core GPU and an AI accelerator limited to 4.0 TOPS, as well as support for dual displays up to 4K + Full HD (instead of 2x 4K), and 32MP single cameras (instead of 48 MP). MediaTek Genio 700 specifications: CPU – Octa-core processor with 2x Cortex-A78 cores @ up to 2.2 GHz, 6x Cortex-A55 cores @ up to 2.0 GHz GPU – Arm Mali-G57 MC3 GPU VPU Encoding up to 4Kp60 with H.265/HEVC Decoding up to 4Kp75, AV1, VP9, HEVC, […]

Khadas VIM1S review – Ubuntu 22.04 tested on an Amlogic S905Y4 SBC

Khadas VIM1S review

In this review of Khadas VIM1S SBC, we’ll install Ubuntu 22.04, and report our experience testing the performance such as memory speed and eMMC flash performance, and 3D graphics capabilities. Installing Ubuntu 22.04 on Khadas VIM1S Just like Khadas VIM4 and Edge2, the Khadas VIM1S SBC ships with the OOWOW firmware that allows easy installation of operating systems by downloading the images, and flashing them directly to the eMMC flash.  You need just to connect a monitor and a USB keyboard and have an Internet connection through either LAN or Wi-Fi. Let’s start by installing Ubuntu 22.04 on Khadas VIM1S together. If no OS is installed, OOWOW will boot automatically, but if there’s already another OS installed, you can press and hold the Function button, press the Reset button, and release the Function button. After a few seconds, the OOWOW Wizard as shown in the picture below should show up. […]

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