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Automation 2040 W is a standalone monitoring and automation board with pre-soldered Pico W

Posted on by Emmanuel Odunlade

UK-based Pimoroni has designed an all-in-one Automation 2040 W monitoring and automation system based on the Raspberry Pi Pico W development board module. As a standalone affair with pre-soldered Pico W, 2.4 GHz WiFi 4 wireless connectivity, and an extended voltage range of 6 to 40V, the Automation 2040 W seems to set the pace for other home automations boards that we have seen.

The board is equipped with rich interfaces and components such as relays, analog channels, powered outputs, and buffered inputs. 4x digital inputs and 3x 12-bit analog inputs are located along its top while 3x relays and 3x sourcing outputs providing up to 40V for things like pumps and larger motors are located at its bottom. Other features include 2x user buttons, 1x reset button, 2x Qwiic/STEMMA QT connectors for breakout sensors, an unpopulated header, and one status LED wired directly for every input and output so you can see when it’s active at a glance.

The board is tolerant from 6V all the way up to 40V, and compatible with 12V, 24V, and 36V systems for all your home automation needs. It can also provide 5V outputs for lower-voltage applications.

The Automation 2040 W board can be used to control fans, pumps, solenoids, larger motors, electronic locks, etc. It comes fully assembled and requires no soldering.

Specifications Include:

  • Built-in Raspberry Pi Pico W with:
    • Raspberry Pi RP2040 dual-core Cortex-M0+ microcontroller @ 133 MHz with 264KB SRAM
    • 2MB QSPI flash memory
    • 2.4GHz wireless
    • 1x micro USB for power and programming
  • 3x 12-bit ADC inputs up to 40V
  • 4x Digital inputs up to 40V
  • 3x Digital sourcing outputs at V+ (supply voltage)
    • Max continuous current 4A
    • Max current of 2A at 500Hz PWM
  • 3x relays supporting 2A up to 24V, 1A up to 40V
  • 3.5mm screw connectors for inputs, outputs and external power
  • 5-pin header with 3x GPIO, 3.3V and GND
  • 2x Qw/ST ports
  • 2x LED indicator buttons
  • Reset Button
  • WiFi and Power LEDs
  • M.25 Mounting holes
  • Power:
    • Requires 6 to 40V supply via screw terminals
    • Can supply 5V up to 0.5A for applications needing lower voltage
    • Board is compatible with 12, 24, 36 V systems
  • Dimension: TBD
  • OS: C++/Micropython

 

Software Support

The Automation 2040 W can be programmed with C/C++ or MicroPython. There is a Getting Started Guide to show you how to connect the board and program it with MicroPython.

Price and Availability

The board sells for $57.72, maybe a little bit on the high side anyway, but then it is a standalone device and should work with almost all home automation systems. There is also a compact Automation 2040 W mini version that goes for $38.48 but it comes with less I/Os.

Meet PDTricker – an Open Source Fast Charging Deception Device

Posted on by Emmanuel Odunlade

Muse Lab has designed an open-source PD decoy tool based on Qinheng’s CH224K and CH552T. The PDTricker fast charging deception tool supports PD3.0/2.0 and can output 5V/9V/12V/15V/20V through key configuration.

“PDTricker is a fast charge deception tool that connects to a USB-C PD source, and can produce voltages on an output USB-C port of 5, 9, 12, 15, and 20V. Voltage selections are made via an onboard button, and indicated by a series of LEDs,” a tindle blog post explains. “Impressively, the device is able to deliver 5A at 20V, though this will of course depend on your power supply.”

Of course, there are many fast-charging deception tools in the market and some even use CH224K but it will interest you to know that this particular one is actually open source. “Both the hardware schematic and the software source codes are open source. You can also modify the source code by yourself to achieve personalized customization requirements.”

Here are some features of the PDTricker Tool:

  • It can output 5V/9V/12V/15V/20V voltage by pressing the button
  • It can also support PD3.0/2.0 protocol fast charge deception
  • Depending on the input power capability, the highest output power it can give is 20V 5A
  • Hardware schematic and software source codes are both open source
  • It has a LED indicator to show the working status. LED flashes whenever the deception fails

Muse Lab also designed both the input and output terminals to use Type-C. “One might understandably be nervous about using a USB-C to USB-C “tricker” inline with expensive electronics, and/or leaving it unattended,” the post further explained.

“Where it would seem to shine, however, would be for test applications, where you don’t want to drag out a full-featured DC power supply, and a 5/9/12/15/20V source would be sufficient. For this purpose, the device can be ordered with a USB-C alligator clip cable, allowing you to power up that motor (or another thing) that you want to test at your desk with an Arduino. It can also have a pair of VOUT/GND through holes, on which you can solder your own leads if you prefer to forgo the USB-C output altogether.” ”

 

You can visit the GitHub page for the source codes and schematics if you would like to examine how it works. The PDTricker Fast track deception tool sells for $5 but adds an extra $2 if you are getting it with 0.5m Type-C Alligator Clip Cable, making a total of $7. More details can be found either on Tindle’s blog or online store.

Star64 Model-A SBC Will Be Powered by StarFive JH7110 64-Bit RISC-V Multiprocessing Chip

Posted on by Emmanuel Odunlade

PINE64 has now released more details on its upcoming RISC-V single board computer named Star64, claiming that the SBC will be powered with the RISC-V-based StarFive next-generation JH7110 64-bit SoC and will follow the model “A” form factor just as the earlier Quartz64 model A board.

“The Star64 is a single board computer comparable to the Quartz64 Model-A — the notable difference being the RISC-V SoC at the heart of the SBC,” says Lukasz Erecinski from Pine64 explains.

The Star64 board will be powered by a StarFive JH7110 64-Bit RISC-V chip which has performance that can be compared to the Rockchip RK3566 quad-core ARM Cortex-A55 SoC. The StarFive JH7110 offers 4x SiFive FU740 processor cores running at 1.5GHz and Imagination’s BXE-4-32 graphics.

StarFive’s JH7110 64-Bit RISC-V chip has a performance comparable to the Rockchip RK3566 quad-core ARM Cortex-A55 SoC. It is the world’s first high-performance, low-power consumption, multimedia processing chip designed for RISC-V applications, offering 4x SiFive FU740 processor cores running at 1.5GHz, Imagination’s BXE-4-32 graphics, H.264/H.265 video codecs IP and ISP IP. So it is a big deal that the Star64 is going to be powered by the StarFive JH7110 processor.

The Star64 SBC will also be offered with an HDMI 2.0 video output connector, an RTL8852BU module with support for WiFi 6 & Bluetooth 5.2, CSI camera support, and a microSD card. It will also feature up to two native Gigabit Ethernet ports, but other models with just one GbE port will also be made available in the future for $5 less.

“The board will be available in two configurations, with 4 and 8GB of RAM, and we aim to match the Quartz64’s price point of the respective hardware versions,” Erecinski further explained. “Similarly to the Quartz64 Model-A, the Star64 will feature an open-ended PCIe port, USB 3.0, and GPIO (General Purpose Input/Output).”

As for software support, we already have an idea of what to expect since efforts are being made currently to port the Debian and Fedora GNU/Linux distributions to run on devices powered by the JH7110 RISC-V processors.

Preliminary Specifications:

  • StarFive JH7110 quad-core 64-bit RISC-V processor running at up to 1.5 GHz with
    • Imagination BXE-4-32 GPU with support for OpenGL ES 3.2, OpenCL 1.2, Vulkan 1.2
    • 4K@30 H.265/H.264 video decoder
    • 1080@30 H.265 video encoder
  • 4 or 8 GB LPDDR4
  • 1x eMMC flash module socket
  • 1x MicroSD card slot
  • QSPI flash
  • 2x GbE RJ45 ports
  • On board RTL8852BU WiFi 6, Bluetooth 5.2, 2x u.FL antenna connectors
  • 1x HDMI 2.0 port
  • 4-lane MIPI DSI connector
  • 2-lane MIPI CSI camera connector up to 4K@30
  • 3.5mm audio jack
  • 40-pin color-coded GPIO header
  • PCIe x4 slot
  • 1x USB 3.0 port
  • 2x USB 2.0 ports
  • 3x USB 2.0 Type-A ports
  • 3-pin UART/debug header
  • DIP switch for boot configuration
  • Power button
  • Fan header
  • Power: 12V DC via power barrel jack or 4-pin header
  • Dimensions: 133 mm x 80 mm

The 4GB RAM version of the board is expected to sell for $60 while that of 8GB RAM should go for $80.

The company has not yet announced a launch date yet but it claims that the board is in the final layout stage and should be available in a few weeks to interested developers only.

You can get more details on the announcement page, or join their discord group for updates.

Card-sized Compact3566 SBC is Powered by a Rockchip RK3566 Quad-Core Arm Cortex A-55 SoC Designed for AIoT applications

Posted on by Emmanuel Odunlade

We recently found out that Boardcon has a credit card-sized SBC (actually the third from the company) designed for embedded IoT devices.

The Compact3566 single-board computer looks almost exactly like the Geniatech XPI-3566 SBC, built around the same processor and offering similar interfaces and high-speed peripherals. The two boards also follow closely with the RPi 3 form factor and offer a 40-pin GPIO header that should be at least compatible with the Raspberry Pi 40-pin header. The Compact3566 however is compatible with more accessories as it appears to keep exactly the same port assignment as the RPi SBC.

The Compact3566 is powered by the Rockchip RK3566 quad-core Arm Cortex A-55 SoC designed for AIoT applications with a high-performance low-power CPU & GPU, a new generation Rockchip ISP, some powerful multimedia decode and encode capability and an integrated efficient RKNN AI processing unit.

The Compact3566 also comes with up to 8GB LPDDR4 RAM, 128GB eMMC flash, 2.4G/5G WiFi, GbE, and 4x USB ports. Others include HDMI 2.0 port supporting 4K monitors, a MicroSD card slot, MIPI DSI and CSI interfaces, M.2 socket for storage, a microphone, and an RTC with battery. There’s also a 40-pin GPIO header that should be at least partially compatible with the RPi 40-pin GPIO header.

 

Specifications Include:

  • Rockchip RK3566 quad-core Arm Cortex-A55 processor running at up to 1.8 GHz
  • ARM Mali-G52 2EE GPU with support for OpenGL ES 1.1 / 2.0 /3.2, OpenCL 2.0, Vulkan 1.1
  • 0.8 TOPS NPU
  • 2/4/8 GB LPDDR4/LPDDR4X
  • 8/16/32/64/128 GB eMMC flash
  • 1x M.2 socket for SSD
  • 1x MicroSD card slot
  • 1x GbE RJ45 port via Realtek RTL8211F-CG controller
  • 2.4G/5G 802.11 a/b/g/n/ac WiFi and Bluetooth 4.2 with u.FL antenna connector
  • HDMI 2.0 output display up to 4K@60Hz
  • LVDS/MIPI_DSI display connector
  • Built-in microphone
  • 3.5 mm audio jack with headphones and microphone signals, ES8388 audio codec
  • MISI CSI camera
  • 15-pin FPC Connector
  • 1x USB 3.0 port
  • 1x USB 2.0 OTG Type-A port
  • 2x USB 2.0 host ports
  • 4x UART, SPI, I2C, PWM and SPDIF_TX
  • 1x Micro USB port
  • 1x Recovery button
  • 2x LEDs
  • RTC with a backup battery
  • Power: 5V/2V via Micro USB port
  • Size: 85 mm x 56 mm
  • Weight: 50g
  • OS: Android 11 and Debian 10

The small computing platform is perfect for a variety of applications including home security, face recognition robots, drones, and HMI.

Further details on the Compact3566 SBC, including links to download the Rockchip RK3566 processor and the Realtek RTL8211F-CG controller, can be found on the product page of the board. The company also dropped its contact details for those who may want to place an order for the board. This can be through email, phone number, or fax.

GTR6 mini PC from Beelink Features AMD Ryzen 9-6900HX Processor, 8K Quad Display Support, WiFi 6, Bluetooth 5.2 and up to 64GB RAM

Posted on by Emmanuel Odunlade

Beelink has recently launched one of the most powerful mini PC that we have come across so far, powered by a 45W AMD Ryzen 9 6900HX 8-core, 16-thread processor running at up to 4.9 GHz with up to 64GB DDR5-4800MHz and M.2 2280 PCIe Gen 4 SSD storage: the GTR6 6900HX mini PC.

Integrated within the AMD Ryzen 9 6900HX mobile processor is a 12-core Radeon 680M GPU clocked at up to 2400MHz with up to 2GB memory. This powerful GPU is said to have a performance that exceeds many entry-level desktop graphics cards. It is very fast and can run almost all 3A games smoothly at Full HD resolution.

Other features include WiFi 6, Bluetooth 5.2 support, 2.5 GbE LAN port, four HDMI 2.1 video ports supporting four simultaneous displays with 8K/60Hz resolution, one M.2 2280 slot supporting a PCIe 4.0 x4 SSD and another M.2 2280 slot supporting SATA 3 SSDs. On top of the GTR6 is also a unique 0.5s fingerprint recognition sensor for biometric security and quick unlocking.

The GTR6 also adopts patent cooling technology to handle heat dissipation issues. So, it does have a silent cooling fan that runs at 2600 RPM at full CPU load as well as a heat sink.

Specifications:

  • CPU: AMD Ryzen 9 6900HX (8 cores, 16 Threads, 3.3GHz to 4.9GHz, 16M L3 Cache)
  • GPU: AMD Radeon 680M Graphics (12 Cores, 2400MHz frequency, up to 2GB memory)
  • Up to 64GB DDR5-4800MHz Dual-channel So-DIMM
  • 1x M.2 2280 NVMe PCIe 4.0 (up to 2TB)
  • 1x 2.5 inch SATA 3.0 (6.0 GB/s)
  • WiFi 6E (1.2 Gbps)
  • Bluetooth 5.2 Support
  • 1x 2.5 GbE RJ45 LAN port
  • 4x HDMI 2.1 video output up to 8K@60Hz, support for up to four independent 8K display
  • 1x 3.5 mm Audio jack, digital audio via HDMI ports
  • 1x USB 3.0 Type-C ports
  • 3x USB 3.0 Type-A ports
  • 2x USB 2.0 Type-A ports
  • Heatsink and Cooling fan @ 2600 RPM under full CPU load
  • 0.5s fingerprint unlock system
  • Power: 120W, 19A/6.32A via DC jack
  • Dimensions: 68 mm x 120 mm x 43 mm

Pricing and Availability

You can get the GTR6 mini PC for either $539 (a barebone model with no memory or storage) or $749 (a second model with 32GB RAM and 500GB SSD). The mini PC comes preloaded with Windows 11 and you can also install Linux distributions of your choice such as Ubuntu, CentOS, and OpenSUSE. Shipping is expected to start by the end of November this year.

Breadboard-compatible TIMI-96 Development Module Features 4D Lab’s Pixxi-28 GPU and 0.96″ Full-color RGB Display

Posted on by Emmanuel Odunlade

Timi-96 from Australian start-up company, Breadboard Mates, is a new breadboard-friendly display development module that makes project development easier for electronics engineers, students and hobbyists at all levels, guaranteeing more speed for projects done in either stand-alone, host interfaced, PC tethered or even in learning environments

“TIMI-96 is a 0.96″ full colour IPS smart display instrument that replaces and simulates many electronics parts,” says the company. “With hundreds of built-in widgets, TIMI-96 empowers you to build projects you never thought possible.”

The compact and feature-packed TIMI-96 module wrapped in a sleek metal frame, is powered by 4D Lab’s Pixxi-28 GPU capable of viewing high-quality widgets, images, icons, and videos, an onboard 16MB flash memory, a full RGB (65K vivid colors) display with 160 x 180 px resolution and a MatesBus interface with 2 x 5 pin configuration and a 3.3V level Asynchronous Serial UART interface with 3 x GPIOs.

Specifications:

  • Graphics Processor: 4D Labs Pixxi-28 GPU
  • 160 x 80 pixel resolution TFT LCD (non-touch)
  • 0.96 inch full-color RGB display
  • Flash memory: 16MB
  • Processor Flash memory: 32KB
  • Processor SRAM for User Variables: 14KB
  • Breadboard compatible pin headers
  • GPIO: 2 analog or I2C and 1x PWM Audio
  • Serial UART Interface: 3.3V (5V tolerant); 300 to 2187500 Baud
  • Master I2C (3.3V) interface bus
  • 5Vdc supply input (3.3V possible)
  • Power Output for User: Dedicated 3.3V 500mA
  • Weight: Approximately 5 grams
  • RoHS and REACH compliant
  • UL 94 V-0 Flammability-Rated PCB

The module can also be a stand-alone controller, a host driven slave, or a tethered test instrument while still interfacing and powering external devices itself. It naturally forms an up-side down “T” shape, interfacing with the bottom of a breadboard and leaving the top of the breadboard free for components and wiring.

Here are some of the Key Benefits that come with using a Timi-96 display module:

  • The display module helps to save some valuable time and money — It comes straight out with many of the common components used in most breadboard based projects, replacing messy wires and expensive components.
  • Has compatibility with Arduino, Raspberry Pi, PICO, STM, ARM, Beaglebone, ESP32/8266, etc.
  • It is quick and easy to use for debugging of host software application
  • It adds an extra dimension to your project with vivid graphics, making your projects more interesting.
  • It helps to save valuable I/O pins on your host controller
  • You don’t need to waste time designing realistic GUIs as the module also comes with lots and lots of ready-to-use pre-designed pages.

More Information

Other useful details on the TIMI-96, including links to its datasheet as well as several project examples with the module, can be found on the company’s product page where it sells for $29. The company however recommends the Timi-96 Starter Kit to those who would be using the module for the first time as the Programmer included in it will be useful for all development work. The starter kit goes for an extra $10, making a total of $39.

The TIMI-96 with other hookup accessories are also available for sale on Sparkfun’s online store. More details can also be found there.

BoxPC Pro NPA-2009 Comes with Intel Tiger Lake Core i5 Processor and a Novel V-by-One/eDP Docking connector

Posted on by Emmanuel Odunlade

Distec, a German company committed to building complete display solutions and components, has designed an embedded box PC built specifically for industrial and low-cost applications, as well as round-the-clock operations. The fanless and compact BoxPC Pro NPA-2009 system is powered by the 11th generation Intel Tiger Lake Core i5-1145G7E embedded processor with optional Intel i7-1185G7E, i3-1115G4E or Celeron 6305E processors. It also comes with up to 64GB RAM, NVMe storage, optional WiFi and cellular connectivity, 2x Intel Gigabit Ethernet, 3x M.2 socket, Audio, 3x USB 3.2, 2x USB 2.0, USB-C Alt mode, 1x RS232/422/485, 1x RS232.

Asides from the 2 x DisplayPort connections featured in this SBC as graphics interfaces, there is a unique docking connector that allows the external connection of V-by-One and eDP displays. The docking connector also supports USB signals meaning you can connect other devices such as touch and webcam to the PC. You can also choose to power the SBC through the docking connectors too.

The Box PC is suitable for use in info terminals, medical equipment, and transformation applications.

Specifications Include:

  • Intel Tiger Lake 11th Generation Processors (one or the other)
    • Core i5-1145G7E quad-core/8 thread CPU @ 1.50 GHz/4.10 GHz (Turbo) with 80 EU Intel Iris Xe Graphics
    • Core i3-1115G4E dual-core/4 thread CPU @ 2.20 GHz / 3.90 GHz with 48 EU Intel UHD Graphics
    • Core i7-1185G7E quad-core/8 thread CPU @ 1.80 GHz / 4.40 GHz with 96 EU Intel Iris Xe Graphics
    • Intel Celeron 6305E dual-core processor @ 1.80 GHz with 48 EU Intel UHD Graphics
  • Up to 64 GB DDR4-3200 via 2x SO-DIMM sockets
  • M.2 NVMe SSD (Optional)
  • 1x DisplayPort
  • 1x USB Type-C port with DisplayPort Alt mode
  • V-by-One up to 4K@60Hz with backlight power through the docking connector
  • eDP up to 1/2/4 Lanes up to 2K/4K/UHD with backlight power through the docking connector
  • 1x Line-out, 1x Mic-in; Audio ALC888s audio codec
  • 2x GbE RJ45 ports
  • Option WiFi and Bluetooth and/or 4G LTE or 5G
  • 3x USB 3.2 Gen 1
  • 1x USB-C (DP Alt mode)
  • 2x USB 2.0
  • Serial Port: 1x RS232/422/RS485, 1x RS232
  • 1x M.2 2280 Key M (PCIe x4/SATA III)
  • 1x M.2 2230 Key E for Wifi/BT
  • 1x M.2 2242/3042/3052 Key B for 4G LTE/5G
  • 1x Watchdog Timer
  • Power Supply: 24V DC-in (external or via docking connector)
  • Operating Temperature: 0°C to 45°C
  • Storage Temperature: -20°C to 70°C
  • Operating Humidity: 0% to 90% Relative Humidity, non-condensing
  • Storage Humidity: 5% to 95% Relative Humidity; non-condensing
  • Security: TPM 2.0
  • Dimensions: 206 mm x 149 mm x 57 mm
  • Weight: 2.2 kg
  • Certifications: CE, FCC
  • OS: Windows 10, Ubuntu Linux

 

Additionally, the Box PC comes with tool-free maintenance and installation with captive thumb screws for easy mounting, as well as an optional DIN rail kit. The operating system is Windows 10 or Ubuntu Linux.

More details on the Distex BoxPC Pro NPA-2009, including a link to the datasheet download, can be found on the company’s product page. The price was not stated anyway but maybe you could get that by reaching out to them through their customer support (contact details are also posted on the product page)

Increasing the Computing Power with AI Smart Module for AIoT Applications

Posted on by Saumitra Jagdale

AI Smart Modul

With the increased amounts of data generated by IoT applications, the scope of integrating AI technologies tends to create some excellent opportunities for handling smart ecosystems. As the computing power of an IoT system decides the compatibility of implementing AI functionalities, it becomes significant to include AI-specific hardware in designing these AIoT (AI + IoT) applications. Fibocom launches a high-performance AI smart module SCA825-W offering a computing power of up to 15 TOPS dedicated to AIoT applications requiring extensive processing.

Qualcomm’s QCS8250 SoC is the heart of  SCA825-W AI smart module, which makes it suitable for applications with real-time processing requirements, such as video conferencing and live streaming, cloud gaming, edge computing, robotics, drone imaging and various use cases of AR/VR. Additionally, it could be a great fit for 5G use cases due to its capability to accommodate applications with quicker data transmission and reception.

Technical Specifications of Fibocom’s SCA825-W AI Smart Module

  • SoC: Qualcomm’s flagship IoT solution QCS8250 SoC
  • CPU: Octa-core [email protected]+ [email protected]+ [email protected]
  • GPU: Adreno™ 650 GPU
  • Triple Display: 4K @ 60 fps Miracast DisplayPort over Type-C
  • Memory: 8GB LPDDR5+128GB UFS
  • Operating System: Android 10

“With AIoT continuously transforming every industry, high-performance AI modules will become an important pillar” as highlighted by Eden Chen, General Manager of MC Product Management at Fibocom. “The newly-launched AI smart module SCA825-W is an exceptional part of the Fibocom smart module family, which will take a big step forward in the AIoT field with technological advancements.”

Dimensions of SCA-825 AI Smart Module

SCA825-W AI smart module comes with dynamic image processing and deep processing units for implementing AI algorithms. Furthermore, it supports up to seven cameras, triple 4K display and video encoding at up to 4K resolution at 120 fps, 8K at 30 fps (frames per second) dedicated to extensive image processing and displaying use cases.

The module has flexible wireless connectivity as it supports WiFi and Bluetooth technologies for the communication of data generated or required for AIoT applications. Talking specifically about the connectivity, SCA825-W accommodates 5G, Wi-Fi 6.0, Bluetooth 5.1 as well as 2×2 Wi-Fi MIMO multi-antenna technology. Additionally, it integrates a wide range of peripheral interfaces such as MIPI-DSI, I2S, PCIe, UART, USB, I2C, SPI, which increases the compatibility of the module for machine-to-machine applications.

You can read more about the SCA825-W AI smart module on the official product page of Fibocom.

Vecow EAC-5000 Features NVIDIA Jetson AGX Orin SoM, Offering Server-Class Performance for Edge AI Applications

Posted on by Emmanuel Odunlade

Vecow has launched a feature-rich edge AI computing system that guarantees power-efficient AI productivity, flexible integration, and mobile availability: the Vecow EAC-5000.

Designed to deliver faster and/or more energy-efficient performance for machine vision and automotive applications, the Vecow EAC-5000 embedded computer is powered by NVIDIA’s Jetson AGX Orin system-on-module, the latest and most powerful module in the Jetson family, capable of delivering 275 TOPS of AI performance (more than 8 times the AI performance of the earlier NVIDIA Jetson AGX Xavier module). The NVIDIA Jetson AGX Orin module also boasts of an Ampere architecture GPU with state-of-the-art graphics and parallel computing techniques, a 12-core Arm Cortex-A78AE CPU running at up to 2.2 GHz, and the second generation of NVIDIA DLA (Deep Learning Accelerators) with 9x times the performance of the previous generation. With other features like a multi-standard encoder and decoder, JPEG Codec, and the second generation of a Programmable Vision Accelerator supporting common computer vision kernels, the module no doubt is on a higher level when it comes to the performance achievable by embedded system-on-module.

Vecow EAC-5000 is also characterized by various wireless connectivity options such as WiFi, 5G, 4G LTE, 6x antennas, support for up to 8x GMLS2 cameras, 1x PCIe x8 slot, 2 GbE LAN, 5x USB, 2x SIM card sockets, 1x software ignition control, a wide range input DC of 9V to 50V, and temperature range of -20 to 70°C. It can be wall mounted with a mounting bracket, and the company offers an optional DIN Rail mount too.

The EAC-5000 system comes in two variants, depending on the version of the module it comes with. The specifications highlighted below give in-depth details about that.

Specifications:

  • SoM: NVIDIA Jetson AGX Orin 32GB/64GB
    • CPU:
      • EAC-5000-R32: 64-bit 8-core Arm Cortex A78AE v8.2 processor @ 2.2 GHz with 2MB L2, 4MB L3 cache
      • EAC-5000-R64: 64-bit 12-core Arm Cortex-A78AE v8.2 processor @ 2.2 GHz with 3MB L2, 6MB L6 cache
    • GPU:
      • EAC-5000-R32: NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1GHz
      • EAC-5000-R64: NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor cores @ 1GHz
    • System Memory:
      • EAC-5000-R32: 32GB 256-bit LPDDR5 @ 204.8 GB/s
      • EAC-5000-R64: 64GB 256-bit LPDDR5 @ 204.8 GB/s
    • DL Accelerators:
      • EAC-5000-R32: 2x NVIDIA v2.0 @ up to 1.4 GHz
      • EAC-5000-R64: 2x NVIDIA v2.0 @ up to 1.6 GHz
    • Vision Accelerator: Programmable Vision Accelerator (PVA) v.2.0
    • AI Performance:
      • EAC-5000-R32: 200 TOPS @ 50W / 100 TOPS
      • EAC-5000-R64: 275 TOPS @ 50W / 100 TOPS
    • Video Encode:
      • EAC-5000-R32: 1x 4K@60; 3x 4K @30; 6x 1080p @60; 12x 1080p @30
      • EAC-5000-R64: 2x 4K@60; 4x 4K @30; 8x 1080p @60; 16x 1080p@30
    • Video Decode:
      • EAC-5000-R32: 1x 8K @30; 2x 4K @60; 4x 4K @30; 9x 1080p @60; 18x 1080p @30
      • EAC-5000-R64: 1x 8K @30; 3x 4K @60; 7x 4K @30; 11x 1080p@60; 22x 1080p @30
  • 2x M.2 Key M 2280 socket
  • MicroSD card socket
  • 1x 64GB eMMC 5.1
  • 1x Digital Display interface up to 8K60
  • 8x Fakra-Z connectors for GMSL2 automotive cameras
  • 2x GbE ports
  • 2x SIM card socket
  • Optional WiFi, 5G, 4G LTE connectivity through M.2 sockets
  • 6x antennas for WiFi, 5G, 4G LTE, UMTS, GPRS
  • 1x USB 3.1 Gen 2
  • 4x USB 3.1
  • 2x COM RS-232/422/485
  • 2x isolated CAN BUS
  • 1x PCIe Gen4 x8 slot
  • 1x M.2 Key B socket
  • 1x M.2 Key E socket
  • 8x DI, 8x DO
  • 1x Micro USB console debug port
  • 1x Micro USB OS flash port
  • Power and Rest Buttons
  • 2x User-programmable LEDs
  • 16-mode Software Ignition control
  • 3-pin Remote Switch terminal block
  • Remote power on/off and remote reset control
  • Power Input: DC 9V to 50V via 3-pin terminal block
  • Dimension: 260 mm x 182 mm x 69 mm
  • Weight: 3.8 kg
  • Temperature:
    • -20°C to 70°C (30W power mode)
    • -20°C to 55°C (Maximum power mode)
    • -40°C to 85°C (Storage)
  • Humidity: 5% to 95%, non-condensing
  • Operating System: Linux Ubuntu 20.04 OS with JetPack SDK
  • Certifications: CE, FCC, EN50155, EN50121-3-2

The rugged AI computing system is ideal for advanced edge AI applications such as robotic control, intelligent video analytics, in-vehicle computing, machine vision, mobile robots, etc.

Other useful details can be found on the product page, but no details on pricing and availability yet.

Seeed Studio sells A203 Mini PC with Jetson Xavier NX for $858.00

Posted on by Abhishek Jadhav

A203 Mini PC

Seeed Studio has launched a Jetson Xavier NX-based A203 Mini PC designed for artificial intelligence applications deployed at the edge. Given its smaller form factor than the Nvidia Jetson NX Developer Kit, the hardware platform is capable of delivering the same performance of up to 21 tera operations per second. For those enterprises looking for miniature hardware that can support applications such as smart cities, security, industrial automation, and smart factories, the A203 Mini PC is set to be an ideal option in the market.

Manufactured in a 100x44x59 mm sized edge AI box equips the Nvidia Jetson Xavier NX modules integrated with 8GB of memory and 128GB of NVMe SSD storage. For its deployment in industrial applications, the manufacturer has provided a rich set of input/output ports, including RJ45, RS232, I2C, HDMI, and USB. Additionally, the A202 Mini PC can operate efficiently in extreme temperatures of 20°C to 80°C for industrial and functional safety applications.

When it comes to AI capabilities, the Nvidia Jetson Xavier NX module has been one of the famous hardware platforms in the market. It isn’t surprising to see more such edge hardware boxes equipped with Nvidia AI modules. The advanced embedded AI system comes with 384 Nvidia CUDA cores, 48 Tensor cores, 6 Carmel Arm CPUs, and two Nvidia Deep Learning Accelerator engines.

A203 Mini PC ports

In the age of machine vision AI applications, the A203 Mini PC is combined with over 59.7GB/s of memory bandwidth, which is required for video encoding and decoding capabilities. Given its ability to deliver up to 21 TOPS, it makes it ideal for high-performance computing and AI in embedded and edge systems. The module is capable of running modern neural networks in parallel and also processing high-resolution data from multiple external sensors simultaneously.

Seeed Studio A203 Mini PC supports AlwaysAI accelerated edge deployment, which means that the customer can train a new model in hours, choose from 130+ pre-trained models, and also deploy it to the mini PC. AlwaysAI is known to reduce entry barriers for building machine learning applications and creating computer vision models fast and effectively.

For more information on the $858.00 USD A203 Mini PC edge computer, head to the official product page.

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