som News - Page 14 of 78 - CNX Software

April 28, 2023April 28, 2023 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Mixtile Core 3588E Rockchip RK3588 system-on-module works with NVIDIA Jetson TX2 NX carrier boards

Rockchip RK3588 SoM NVIDIA Jetson TX2 NX alternative

Mixtile Core 3588E is a system-on-module powered by a Rockchip RK3588 SoC and equipped with the 260-pin SO-DIMM connector found in the NVIDIA Jetson TX2 NX (and Jetson Nano, Xavier NX, Orin Nano modules). We’ve seen several companies make Raspberry Pi CM4 alternatives such as Radxa CM3 or Pine64 SoQuartz, and Mixtile even has its own Core 3568M SoM that can be used as a drop-in replacement for the Raspberry Pi CM4. But I had not seen companies try to make system-on-modules based on NVIDIA Jetson’s 260-pin SO-DIMM edge connector, and that’s exactly what the Mixtile Core 3588E has to offer. Mixtile Core 3588E specifications: SoC – Rockchip RK3588 CPU – Octa-core processor with 4x Arm Cortex-A76 cores @ up to 2.4 GHz, 4x Arm Cortex-A55 cores GPU – Arm Mali-G610 MP4 GPU with support for OpenGL ES3.2, OpenCL 2.2, Vulkan1.1 AI accelerator – 6 TOPS NPU with support for […]

April 20, 2023April 19, 2023 by Leo Zachary - No Comments

100ASK-V853-Pro – A feature-rich Allwinner V853 board designed for AI vision applications

The 100ASK-V853-Pro board is a development kit consisting of an Allwinner V853 system-on-module board (SoM) and a feature-rich carrier board with a large number of interfaces. Allwinner V853 supports up to 1TOPS of NPU computing power and is mainly for AI vision application development. The core board contains a DDR and eMMC as well as a PMU chip (AXP2101) and is connected to the carrier board through a board-to-board connector. All the functional resources of the V853 are drawn out through the carrier board. The carrier board comes with 2-channels CSI camera interfaces as well as RGB and MIPI DSI display interfaces. Although 1 TOPS of AI computing power is not outstanding, the NPU can still be used to accelerate AI vision applications at the edge. The board also comes with four USB 2.0 ports (two Type-A, two Type-C), an 100Mbps Ethernet port, a 22-pin header for expansion, and five […]

April 19, 2023April 19, 2023 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

AAEON BOXER-8224AI – An NVIDIA Jetson Nano AI Edge embedded system for drones

BOXER 8224AI board AI Edge NVIDIA Jetson Nano embedded system

AAEON BOXER-8224AI is a thin and lightweight AI edge embedded system solution based on NVIDIA Jetson Nano system-on-module and designed for drones, or other space-constrained applications such as robotics. AAEON BOXER products are usually Embedded Box PCs with an enclosure, but the BOXER-8224AI is quite different as it’s a compact and 22mm thin board with MIPI CSI interfaces designed to add computer vision capability to unmanned areal vehicles (UAV), as well as several wafers for dual GbE, USB, and other I/Os. BOXER-8224AI specifications: AI Accelerator – NVIDIA Jetson Nano CPU – Arm Cortex-A57 quad-core processor System Memory – 4GB LPDDR4 Storage Device – 16GB eMMC 5.1 flash Dimensions – 70 x 45 mm Storage – microSD slot Display Interface – 1x Mini HDMI 2.0 port Camera interface – 2x MIPI CSI connectors Networking 2x Gigabit Ethernet via wafer connector (1x NVIDIA, 1x Intel i210) Optional WiFi, Bluetooth, and/or cellular connectivity […]

April 12, 2023April 12, 2023 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Cool Pi CM5 evaluation board features Rockchip RK3588/RK3588J system-on-module

Cool Pi CM5 is a system-on-module based on Rockchip RK3588 or RK3588J (industrial temperature range) octa-core Arm Cortex-A76/A55 processor with up to 32GB RAM, 256GB eMMC flash, offered with a development board with dual GbE, two 8K HDMI 2.1 ports, a PCIe 3.0 x2 slot, M.2 NVMe and SATA storage, and more… At the end of last year, we wrote about the Cool Pi 4 as a much faster alternative to Raspberry Pi 4 SBC, and the company has now launched a Raspberry Pi Compute Module 4 and Radxa CM5 alternative with the Cool Pi CM5 MXM 3.0 system-on-module that they offer along with a feature-rich evaluation board (EVB). Cool Pi CM5 EVB specifications: System-on-Module SoC – Rockchip RK3588(J) octa-core processor with 4x Cortex‑A76 cores @ up to 2.4GHz, 4x Cortex‑A55 core @ 1.8GHz Arm Mali-G610 MP4 “Odin” GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 […]

April 10, 2023March 13, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

IP67-rated CM4 AI camera uses Raspberry Pi Compute Module 4 for computer vision applications

EDATEC ED-AIC2020 is an IP67-rated, Raspberry Pi CM4-based industrial AI camera equipped with a fixed or liquid lens and LED illumination that leverages the Raspberry Pi Compute Module 4 to run computer vision applications using OpenCV, Python, And Qt. We’ve previously written about Raspberry Pi Compute Module-based smart cameras such as the Q-Wave Systems EagleEye camera (CM3+) working with OpenCV and LabVIEW NI Vision and the StereoPi v2 (CM4) with stereo vision. But the EDATEC ED-AIC2000 is the first ready-to-deploy Raspberry Pi CM4 AI camera we’ve covered so far. EDATEC “CM4 AI camera” (ED-AIC2020) specifications: SoM – Raspberry Pi Compute Module 4 up to 8GB RAM, up to 32GB eMMC flash Camera 2.0MP global shutter or 5.0MP rolling shutter Acquisition rate – Up to 70 FPS Aiming point – Red cross laser Built-in LED illumination (optional) Scanning field Electronic liquid lens Fixed focal length lens Networking Gigabit Ethernet M12 port Communication protocols – Ethernet/IP, PROFINET, Modbus […]

April 9, 2023April 11, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Cytron CM4 Maker Board review – Part 2: NVMe SSD, RTC, Buzzer, Grove modules, ChatGPT…

We’ve already checked out Cytron’s CM4 Maker Board kit with a Raspberry Pi CM4 system-on-module and booted the system with the included 32GB “MAKERDISK” Class 10 microSD card preloaded Raspberry Pi OS in the first part of the review. For the second part of the CM4 Maker review, I’ve mostly used the 128GB NVMe SSD provided by the company and played with other features of the board including the RTC, the buzzer, some Seeed Studio grove modules, and even got help from ChatGPT for one of the Python programs I used. Booting Cytron CM4 Maker Board with the “MAKERDISK” NVMe SSD I connected several Grove modules with GPIO and I2C interfaces, a Raspberry Pi Camera Module 3, an Ethernet cable, two RF dongles for a wireless keyboard and mouse, an HDMI cable to a monitor, and finally inserted the provided 5V/3.5A USB-C power adapter. The MAKERDISK SSD comes with Raspberry […]

April 3, 2023April 3, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Renesas RZ/G2L CPU module targets HMI and IoT gateway applications

MYIR MYC-YG2LX is Renesas RZ/G2L CPU module with up to 4GB DDR4, 32GB eMMC flash, and various I/Os such as gigabit Ethernet, USB 2.0, camera and display interfaces accessible through 222 castellated holes, and designed for advanced HMI, IoT edge gateways, and other embedded devices with video capabilities. As a reminder, the Renesas RZ/G2L microprocessor comes with up to two Arm Cortex-A55 cores clocked at 1.2 GHz, one 200 MHz Cortex-M33 real-time core, a Mali-G31 GPU for 3D graphics interfaces, and a VPU capable of H.264 encoding/decoding. The company also offers the MYD-YG2LX development board based on the 45x43mm MYC-YG2LX CPU module with easy access to its interfaces. MYIR MYC-YG2LX Renesas RZ/G2L CPU module MYC-YG2LX module specifications: SoC – Renesas RZ/G2L (R9A07G044L23GBG) dual-core Cortex-A55 processor with Cortex-M33 core @ 200 Mhz, Arm Mali-G31 GPU, H.264 hardware video decoding/encoding System Memory – 1 or 2GB DDR4 (option for up to 4GB) […]

March 28, 2023 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

conga-STDA4 SMARC 2.1 module features TI TDA4VM/DRA829J Jacinto 7 processor

conga-STDA4 SMARC Module TI Jacinto 7 TDA4VM DRA829J

congatec conga-STDA4 is a SMARC Computer-on-Module (CoM) based on Texas Instruments TDA4VM or DRA829J Jacinto 7 processor with two Cortex-A72 cores, six real-time Cortex-R5 cores for functional safety, accelerated vision and AI processing capabilities, and plenty of interfaces. The first Texas Instruments-powered CoM from the company is designed for industrial mobile machinery requiring near-field analytics, such as automated guided vehicles and autonomous mobile robots, construction and agricultural machinery, as well as any industrial or medical solutions requiring energy-efficient computer vision at the edge. conga-STDA4 specifications: SoC – Texas Instruments Jacinto 7 TDA4VM/DRA829J with Dual-core Arm Cortex-A72 up to 2.0 GHz 6x Arm Cortex-R5F cores @ 1.0 GHz up to 8 MB of on-chip L3 RAM 1x C7x DSP up to 80 GFLOPs 2x C66 DSPs up to 40 GFLOPs Up to 8 TOPS MMA AI accelerator PowerVR Rogue 8XE GE8430 3D GPU with support for OpenGL ES 3.1, OpenVX, OpenCL […]