Page Comparison

content

0:00

3:32 Live demo 1: Overview

• 6:25 Initial connection with camera as GigE Vision device via GigE Vision Server

• 9:20 Connection with camera via SSH/X11/remote desktop

• 1:10 Running SynView on the PC and on the camera

• 13:25 Summary and lessons learned

14:15 Live demo 2: Overview

– 0:22 Experience, know-how solution

0:23 – 0:49 Corsight`s key characteristics for applications

0:50 – 1:14 Hardware features

1:15 – 1:35 Combine freely the resources of CPU and FPGA

1:36 – 1:50 the Open Camera Concept by NET

1:51 – 2:30 Various available drivers and real-time algorithms

content

Part 1: Introduction to the Open Camera Concept
00:42 CORSIGHT: Smart Camera with software and hardware functions
01:39 iam: Smart Camera with open platform concept

Part 2: Hardware acceleration for iam
04:07 Hardware acceleration: optimizing effects
06:01 Hardware acceleration: kernel types Cross Compiling for iam
10:32 Cross compiling introduction
11:53 Xilinx Vitis IDE

Part 3: Xilinx Vitis IDE - Example Application
14:48 OpenCV application example w/o hardware acceleration on a camera
17:54 Optimization of the OpenCV application example

Contents

00:00 Introduction to Machine Learning image processing applications

03:05 Basic Machine Learning applications: Classification, segmentation, object detection

05:40 Implementation of Machine Learning to iam

08:24 Network Development Flow

10:16 Required software environment

11:59 Application example: Classification of fruits and vegetables

13:38 Network Training

22:41 Network Optimization and Transformation

32:30 Running Application on iam