The ASUS Tinker Edge T single-board computer (SBC) created both a stir and a steer at the 2019 Maker Faire Taipei . Attendees at the annual gathering of international makers and shakers were wowed by the performance of the autonomous, AI-driven Donkey Car – with a powerful a Tinker Edge T under its hood.
Versatile Arm-based single-board computer delivers exceptional integration and expansion capability, robust and ready for the Industrial Internet of Things
First RISC-V single-board computer (SBC) from ASUS IoT embraces open-source architecture for industrial IoT developers
Comprehensive lineup of embedded systems, motherboards, single-board computers and AI solutions to support diverse vertical markets
A single-board computer (SBC) incorporates microprocessors, memory, and input/output (I/O), among other features on a single circuit board. It provides industrial control or commercial IoT developers with a straightforward mode that simplifies the process and reduces the high costs of developing their own hardware, thereby accelerating time-to-market.
Partnership with CyberLink enables world-class facial-recognition for AIoT applications in retail, public services, hospitality, healthcare and more
Arm-based, embedded single-board computer (SBC) with 64-bit big.LITTLE technology delivers enhanced computing performance with low power consumption
Single-board computer for AI applications, with Rockchip NPU and Arm big.LITTLE architecture, advanced power design and easy machine-learning model deployment.
ASUS Tinker Edge T is a small, powerful single-board computer (SBC) specially designed to drive your AI applications. Featuring a Google Edge TPU, a machine learning (ML) accelerator, it offers superb processing efficiency, low power demands and makes it easy to build connected devices and intelligent applications.
AnyConnect's Smarter Camera Platform and ASUS' Tinker Edge T Enable AI Camera Networks with Edge Inference.
To help you get up and running with deep learning and inference on ASUS Tinker Edge T, this article will show you how to perform real-time pose detection.