Edge intelligent system includes edge AI + edge computing, inference and deployment of deep learning models on the device side, reducing network latency and bandwidth consumption. Advantech provides a variety of embedded AI solutions in a variety of application scenarios to meet AI applications’ requirements for low-cost, low-latency, high-performance edge AI.

On July 14, Advantech invited senior experts from NVIDIA and UF partners to jointly interpret NVIDIA’s platform advantages for machine vision, Advantech’s diverse embedded AI solutions and practical application cases shared by customers in order to cope with the development and challenges of edge AI.

Highlights of this issue

Challenges and opportunities in the machine vision industry
The benefits of NVIDIA AI platform building
Advantech’s AI edge intelligent system solution based on NVIDIA
The practical application case in scrap intelligent grading scenario
Agenda introduction

He then –

Development and challenges of edge AI – NVIDIA Jetson’s platform advantage in machine vision

Xiaonan Cui | Developer Ecosystem Development Manager, Nvidia

Most – 40

Advantech’s AI edge intelligent system solution based on NVIDIA

Yan Sun | Advantech Internet of Things industry Product Manager

40-15:00

Scrap intelligent grading solution – Application of edge AI system in machine vision scenarios

Zhao Dongwei | Head of UF Industrial Brain & Metallurgical Industry Director

Special guest this time

Xiaonan Cui is Manager of developer Ecosystem Development at Nvidia

Master of Software Engineering, Beijing University of Aeronautics and Astronautics, responsible for Nvidia developer ecosystem expansion and industry solution landing, focusing on the application and promotion of enterprise acceleration platforms such as Metropolis SDK and EGX/NVAIE in the field of video analysis, intelligent manufacturing and pan-transportation industries.