Where: Hall C
Start Time: 09:00
End Time: 17:30
As part of the Embedded Vision Summit, we’re delighted to have this seminar led by Synopsys for system architects, SoC designers, software designers and hardware engineers developing systems requiring vision processing, radar/lidar, and deep learning.
Date: Thursday, May 23, 2019
Time: 9:00 am – 5:00 pm. Badge pickup with coffee and pastries starts at 8:00 am.
Join us to learn about the latest trends in artificial intelligence and computer vision, and how to use the latest embedded vision technologies to navigate your way from concept to successful silicon. This seminar provides a deep dive into deep learning, embedded vision, and standards-based programming for automotive, mobile, surveillance, and consumer applications.
What you’ll learn:
By attending this workshop you will learn:
- The latest techniques for balancing performance, power, area and bandwidth for designs ranging from 1 TOPS to 100 TOPS
- The need for security in AI designs.
- Trade-offs between traditional computer vision techniques and deep learning.
- About detailed case studies on the implementation of computer vision in an embedded environment.
- Our post-seminar reception provides an opportunity to discuss your specific questions with key members of our R&D staff.
8:00 – Doors open for badge pickup
9:00 – Opening remarks
9:15 – Keynote: Solving Computer Vision Problems Using Traditional and Neural Network Approaches
Robert Laganiere, Professor, University of Ottawa and Founder & Chief Science Officer at Sensor Cortek & Tempo Analytics
10:15 – Break
10:30 – Designing Highly Scalable Embedded Vision Solutions from Consumer to Automotive Applications with EV6x Processors
11:15 – Architecture and Design Techniques for Embedded Deep Learning
12:00 – Lunch
1:00 – Tracing OpenVX and CNN Applications on Synopsys EV6x Embedded Vision Processors (Presented by Percepio AB)
1:30 – Emerging Neural Network Topologies for Vision Applications
2:15 – Break
2:30 – What You Don’t Know CAN Hurt You: Security 101 for Embedded Vision
3:00 – Introduction to EV6x Vector DSP Programming with OpenCL C
3:45 – Partitioning Graphs Across Multiple CNN Engines for Performance & Latency Improvement
4:30 – Reception & Raffle of Amazon Echo, Osmo Mobile 2 Gimbles, and more
This workshop is designed for: System architects, SoC designers, software designers and hardware engineers developing systems requiring vision processing, radar/lidar, and deep learning. End markets can include automotive (requiring functional safety solutions), IoT, AR/VR, industrial design, and more.
Workshop Sponsor: Synopsys
Workshop registration is subject to approval by the sponsor.