FPGA Network: Implementing Machine Vision with FPGA and SoC Platforms

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Machine Vision (MV) systems are ubiquitous, encompassing a wide range of applications from smart phones to ADAS and drones. Increasingly, these applications require intelligence at the edge or in the cloud, with FPGA and SoC based solutions forming the core of many MV systems.

Join NMI at MBDA facilities for the upcoming meeting of the FPGA Network to explore not only MV systems but also how FPGA and SoC can implement intensive applications including Machine Learning and Neural Networks.

Key themes will include: OpenCV with FPGA / SoC, ADAS, Robotic Guided Vision / Drones, Industry 4.0, Defence, Machine Learning and much more.




09:15   Registration & Refreshments

10:00   Welcome & Introduction
Derek Boyd, NMI

10:05   Event Welcome & Front-Runners Forum Intro
Adam Taylor, MBDA

10:10   Machine Vision Overview
Stefan Leutenegger, Dyson Robotics Lab via Imperial College

10:35   Accelerating your Embedded Vision / Machine Learning design with the reVISION Stack
Giles Peckham, Xilinx

10:55   Using HLS to Accelerate OpenCV Designs
Adam Taylor, MBDA

11:15   Break

11:45   vPinPoint – Integrated Visual Navigation System
People Detection, Tracking & Behaviour Analysis
Dean Thomas, Roke Manor Research

12:30   The Challenge of Compiling Deep Neural Networks to FPGAs
Joe Hermaszewski, Myrtle Software

12:50   Lunch

13:50   Design & Verification for ADAS Vision Systems
Andrew Marshall, Cadence

14:10   Embedded Machine Vision Processing Cores
Leon Wildman, APTcore

14:30   Tulipp Project
Flemming Christensen, Sundance

14:50   Using FPGAs for Machine Learning Inference
Graham Mckenzie, Intel PSG

15:15   Summary / Open Discussion

15:45   Event Close


Thank you to our Exhibitors