computer(IC chip) - List of Manufacturers, Suppliers, Companies and Products | IPROS

computer Product List

1～2 item / All 2 items

Displayed results
ASUS Single Board Computer Tinker Edge R

ASUS Single Board Computer Tinker Edge R

Single-board computer for AI applications equipped with Arm big.LITTLE technology and Rockchip NPU.

The "Tinker Edge R" is a single-board computer for AI applications with machine learning capabilities powered by the Rockchip NPU. It achieves stable power supply with a DC input of 12V to 19V. It supports both Linux and Android, and the board size is Pico-ITX (100x72mm). 【Features】 ■ Arm big.LITTLE A72+A53 Hexa-core SoC ■ Machine learning capabilities with Rockchip NPU ■ Multiple MIPI-CSI & DSI / HDMI / Type-C (DP) ■ Multiple 40-pin GPIOs and mPCIe for expansion ■ Stable power supply with a DC input of 12V to 19V *For more details, please refer to the PDF document or feel free to contact us. *You can download the English version of the catalog.

  • others
  • computer

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
AI edge computer that simultaneously processes multiple types of AI learning models.

AI edge computer that simultaneously processes multiple types of AI learning models.

Simultaneously processing multiple types of AI learning models.

■Equipped with two 'Hailo-8 AI processors' in a single fanless chassis■ The 'AT-IPCFG004' is an industrial computer with excellent environmental performance, equipped with two high-performance AI chips for industrial applications. It can expand AI inference capabilities by simultaneously applying different learning models, such as area recognition and object recognition, or object recognition and pose estimation, to input sources. ■Equipped with two high-performance AI chips from Hailo, supporting multi-AI algorithms■ In AI deep learning, depending on the 'type of data source' being handled, such as images, audio, or time series, and the 'analysis purpose' of what you want to learn from that data source, appropriate algorithms are selected and applied each time for tasks like classification, depth estimation, object recognition, face detection, and pose estimation. Generally, in edge inference, one learning model is executed for one image source. With the AT-IPCFG004, by incorporating multiple Hailo-8 processors, it has become possible to 'apply multiple algorithms simultaneously' to the source.

  • IoT
  • computer

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

Search Keywords Related to computer

COPYRIGHT © 2001-2026 IPROS CORPORATION ALL RIGHTS RESERVED.