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Excerpt
Table of Contents

Video Session 1: Getting started with iam and Smart App

Example

Examples

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0:00 Introduction: - GigE Vision - SDK - SynView

3:32 Live demo 1: Overview

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

  • 15:02 Running a demo application with OpenCV on a PC

  • 22:53 Compiling and running a demo application in OpenCV on the camera

Video Session 2: The NET Open Camera Concept

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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

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Video Session 3: Machine Learning with iam

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iam

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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

🔍 References

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Quick Start

Software

👥 contact NET

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iam:MasterContent: Contact NET
iam:MasterContent: Contact NET
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