Xilinx and Avnet focus on embedded vision applications, supporting artificial intelligence and driver assistance systems.
Embedded vision has become an increasingly popular technology in recent years, and the boom in autonomous driving and artificial intelligence has accelerated the speed at which enterprises deploy related applications, which has led major international semiconductor manufacturers to flock to this popular technology.
As a leading global supplier of fully programmable solutions and devices, Xilinx provides customers with complete solutions and advanced design toolchains in areas such as computer vision, artificial intelligence, and advanced driver assistance systems (ADAS).
This seminar invites market and technology experts from Xilinx and Avnet to give a detailed presentation on the solutions and success stories of "fully programmable FPGAs" in the aforementioned emerging markets, helping designers to quickly develop products and bring them to market as soon as possible.
Live broadcast schedule
1. Xilinx FPGA Technical Solutions in ADAS/AD
2. Introduction to Avnet Vision Solutions
3. Development of image filtering and convolution designs accelerated by SDSOC/HLS
4. Q&A Live
Event Time
Registration period:
From now until May 9, 2018
Live broadcast time: 10:00-11:30 AM, Thursday, May 10, 2018
Registration method
Scan the QR code below with WeChat, fill out and submit the form to register.
Pre-register to watch the live stream for a chance to win a JD.com gift card.
Instructor Introduction
Luo Lin
Xilinx ISM Marketing Senior Technical Manager
Mr. Andy Luo is currently the Senior Manager of ISM (Industrial, Scientific, and Medical) Technology Marketing for Xilinx Asia Pacific, responsible for the company's market and business development in the industrial, scientific, and medical sectors in the Asia Pacific region. He has 13 years of experience in the semiconductor and embedded systems industry. Prior to joining Xilinx, he worked at ARM and Intel in embedded market and software business development. Andy holds a Bachelor of Science degree in Electrical Engineering and a Master of Science degree in Communication Engineering from Fudan University.
District government
Avnet Chief Design Engineer
The Asia Pacific Global Design Solutions Department has nearly 20 years of experience in video processing design and is currently primarily responsible for FPGA deep learning technology support.
Dai Menglin
Avnet's video technology experts
He has over 20 years of experience in ASIC and FPGA design in the video, imaging, and telecommunications fields.
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