iam provide 64-bit processor scalability while combining real-time control with soft and hard engines for graphics and video. With the NET SDK and GigE-Vision toolboxes sketched below customers can start from a comfortable starting point to build their unique vision system with iam. The open system architecture of iam enables customers to use both CPU and FPGA processing resources in their application.

Introducing NET’s Open Camera Concept for iam

Introducing Vitis IDE ^TM

The Xilinx Vitis unified software platform enables the development of embedded software and accelerated applications on heterogeneous Xilinx platforms including FPGAs, SoCs, and Versal ACAPs. It provides a unified programming model for accelerating your applications.

Example Repository

Background and Strategy

Hardware Acceleration: Optimizing Effects

The processing power of iam camera can be improved by FPGA optimization effects such as Pipelining, Parallelization, Co-processing, Quantization.

Hardware Acceleration: Kernels Types

The figure below shows different methodes of writing acceleration kernels for iam camera. Most of the different ways are covered by a software example in thehttps://bitbucket.org/net-gmbh/iam_apps/ repository.

Introduction to Cross Compiling

Include Examples Repository to Vitis IDE and Check out camera examples