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ASUS Tinker Edge T - a new Raspberry Pi like SBC

ASUS announced Tinker Edge T in mid-2019, but now officially announces their latest SBC. Edge T expands Tinker Board series, which was already a strong rival of Raspberry Pi and latest Google Coral Dev Board.

The ASUS company has designed Tinker Edge T for AI applications powered with has Google Edge TPU. Google has optimized Edge TPU for machine learning and must be able to run Tinker Edge T up to 4 ter per second operations (TOPS) at just 0.5 W. Therefore, this board is a good candidate for automatic image recognition and other automation projects

ASUS Tinker Edge T
ASUS Tinker Edge T with active cooler

ASUS Tinker Edge T specification

Below you will find complete specification of announced ASUS Tinker Edge T single-board computer:

  • Edge TPU module:
    • SoC – NXP i.MX 8M quad-core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core,  GC7000 Lite 3D GPU
    • ML accelerator – Google Edge TPU coprocessor delivering up to 4 TOPS
    • System Memory – 1 GB LPDDR4 RAM
    • Storage – 8 GB eMMC Flash memory
    • Wireless Connectivity – Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.2
  • Baseboard:
    • Storage – MicroSD card slot
    • Networking – Gigabit Ethernet port (via RTL8211F-CG)
    • Video Output – MIPI DSI connector, and HDMI output up to 4K with CEC support
    • Camera I/F – 2x MIPI CSI 2 interfaces for stereoscopic camera applications
    • USB – 2x USB 3.2 gen1 ports, 1x USB-C 3.2 gen1 port
    • Expansion – 40-pin Raspberry Pi compatible color-coded header with GPIO, I2C, PWM, UART, SPI, I2S, etc…
    • Misc – Programmable LEDs
    • Power Supply – 12-19V DC input (up to 45 Watts)
    • Dimensions – 85x56mm

Source: https://www.cnx-software.com/2020/01/28/buy-asus-tinker-edge-t-ai-sbc/

Industrial use of various development boards

Introduced in November 2017, the ModBerry M300 series, based on NanoPi NEO revolutionised the economic segment of Industrial IoT devices and proved, that automation and monitoring can be done effectively with low expenditure on industrial installations.

ModBerry M300 O1 based on OrangePi Zero Plus features Allwinner H5 (Quad-core Cortex-A53) SoC, moderate 512MB RAM, storage memory option with microSD slot, USB and Gigabit Ethernet port. The wireless communication is supported with onboard Wi-Fi module.

Offering much higher performance and wider feature range, the ModBerry M300 O2 features same SoC as M300 series, but thanks to OrangePi Zero Plus2 means, the device is equipped with onboard 8GB eMMC, extra microSD expansion slot as alternative and wired/wireless interfaces, e.g. HDMI, Wi-Fi, Bluetooth 4.0.

Coral Dev Board - a new Raspberry Pi-like platform from Google

The Coral platform launched by Google is expected to contribute to the easier creation of systems in the field of the Internet of Things. During CES 2020, the manufacturer will devote a lot of attention to her.

Google presented a new, miniature accelerator module for the Coral platform. The sensor has dimensions of only 10×15 mm, so it is smaller than the American one-cent coin. Coral is a Google platform created to facilitate the construction of equipment compatible with the Internet of Things technology, equipped with artificial intelligence.

Components produced by Google have already been used to create many intelligent systems used, for example, in healthcare, agriculture or technologies supporting the functioning of cities. Coral works well also in offline mode and with limited connectivity. The new module is expected to increase its functionality.

The Coral Dev Board together with the USB and PCIe accelerator went on sale in 2019, and is now being sold in 36 countries. We can expect many innovations related to this technology during CES 2020. Google announces that it has prepared various demonstrations of the new module capabilities for this meeting.

Google’s Coral Dev Board

Coral Dev Board

Unlike popular single board, Raspberry Pi or Raspberry’s Chinese competitors, according to Google, Coral Dev Board is to be a specialized computer – it is primarily targeted at developers who want to have a device on which algorithm learning is possible. The computer is running Mendel Linux built on Debian, we will also find Tensor Flow Lite libraries with ready-to-compile models. No internet connection is required in the learning process – the entire process is done locally.

From the hardware side, the most important here is the Edge TPU coprocessor – a Google tensor system designed to be used together with the Tensor Flow library used in machine learning. In addition, the board got the ARM 4-core NXP i.MX 8M processor, GC7000 Lite Graphics, as much as 1 GB of RAM (LDPRR4) and 8 GB of eMMC memory. Coral connects to other devices via Wi-Fi oral USB Accelerator and Bluetooth 4.1.

Therefore, it cannot be said that, compared to other SBC Coral, it is hardware limited. What’s more, it has a microSD card slot, two USB type C sockets (one for power supply, the other for data transfer), minijack output, HMDI output, GPIO pins. The device can also be connected to the Internet via a cable with an RJ-45 plug. It is also possible to buy a camera useful in machine learning image processing algorithms.

Industrial use of Raspberry Pi-like development boards

Introduced in November 2017, the ModBerry M300 series, based on NanoPi NEO revolutionised the economic segment of Industrial IoT devices and proved, that automation and monitoring can be done effectively with low expenditure on industrial installations.

ModBerry M300 O1 based on OrangePi Zero Plus features Allwinner H5 (Quad-core Cortex-A53) SoC, moderate 512MB RAM, storage memory option with microSD slot, USB and Gigabit Ethernet port. The wireless communication is supported with onboard Wi-Fi module.

Offering much higher performance and wider feature range, the ModBerry M300 O2 features same SoC as M300 series, but thanks to OrangePi Zero Plus2 means, the device is equipped with onboard 8GB eMMC, extra microSD expansion slot as alternative and wired/wireless interfaces, e.g. HDMI, Wi-Fi, Bluetooth 4.0.