Tutorial: The NET Open Camera Concept with iam

Learn how to use the resources of the in-camera FPGA for your hardware acceleration application. You can work on iam’s processor system with third party libaries like Halcon or Zebra Aurora TM Vision Studio or use open source software like OpenCV. In this session we cover how to implement hardware acceleration on iam using the Vitis platform. The video is protected. Please send a request for the password to industrial@net-gmbh.com.

Watch the tutorial >

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

About iam
iam sets new standards for vision-based self-sufficient decision-making and control processes. The system architecture featuring CPU and FPGA on one chip allows for better, more efficient system performance. iam uses the available options for hardware acceleration on the system-on-chip design. Its additional FPGA resources enable high-performance neural networks and conventional algorithms to be used more efficiently for image processing.
The refined Open Camera Concept offers users unique benefits. iam also enables users with no VHDL expertise to use the FPGA resources for their own vision solutions. They can also use commercial libraries, OpenCV or NET functions.




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