Integrated Smart Vision System

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.

A wide range of configuration options are available for the many different requirements: CMOS image sensors with different resolutions, shapes and high image transfer rates, as well as a variety of interface options for integration into various system environments. iam supports companies on their way to the industrial Internet of Things (IIoT).

For application examples, tutorials and further information visit Best Practice.

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iam – Integrated Smart Vision System

Complete embedded vision system

All components are optimally matched ex works. You can get started with iam right away.

Compact form factor

As a decentralized vision solution, iam fits into existing applications. Suitable hardware and software interfaces included.

SoC architecture makes the Open Camera Concept easy to use

NET has further developed the Open Camera Concept. Even without FPGA expert know-how it is now possible to integrate custom algorithms into iam.

Machine Learning ready

iam is ideally suited as a platform for machine learning tasks. The integrated hardware acceleration efficiently supports open neural networks.

Variety of image sensors

A wide selection of CMOS image sensors is available. In combination with the fitting C-, S-, or F-mount optics, the smart vision system meets almost all challenges.

Customizable vision system

All models available be customized: at the customer's request or independently. We will be happy to advise you!

iam - Models and technical data

Model Sensor type Resolution [px] Size Shutter
IA2511M Monochrome 2448 x 2048 2/3" G more
IA2511C Color 2448 x 2048 2/3" G more
IA2504M Monochrome 2448 x 2048 2/3" G more
IA2504C Color 2448 x 2048 2/3" G more
IA2312M Monochrome 2048 x 1536 1/1.8" G more
IA2312C Color 2048 x 1536 1/1.8" G more
IA2305M Monochrome 2048 x 1536 1/1.8" G more
IA2305C Color 2048 x 1536 1/1.8" G more
IA21202M Monochrome 4072 x 3046 1/1.7" R more
IA21202C Color 4072 x 3046 1/1.7" R more
IA2107M Monochrome 1456 x 1088 1/2.9" G more
IA2107C Color 1456 x 1088 1/2.9" G more
IA2009M Monochrome 728 x 544 1/2.9" G more
IA2009C Color 728 x 544 1/2.9" G more
IA1513IR Monochrome NIR 2592 x 1944 1/2.5" R more
IA1503M Monochrome 2592 x 1944 1/2.5" R more
IA1503C Color 2592 x 1944 1/2.5" R more
Legend: R: rolling / G: global / GR: global reset / RGR: rolling mit global reset / GRGR: global; rolling; global reset

Downloads

>>> Technical data
>>> Online Manual
Operational Manual on Confluence
>>> Software application examples
Overview of Example Git Repositories on Bitbucket
>>> Platform Source File: iam_mipi (v2021.1)
Achive file for standart version of iam camera for Xilinx Vitis™ v2021.1 platform generation.

net_iam_hwacc_202110_1_mipi_src.tar.gz

Example Git Repository
https://bitbucket.org/net-gmbh/iam_apps.git
>>> Platform Source File: iam_zu5_mipi (v2021.1)
Achive file for ZU5 version of iam camera for Xilinx Vitis™ v2021.1 platform generation.

net_iam_hwacc_202110_1_zu5_mipi_src.tar.gz

Example Git Repository
https://bitbucket.org/net-gmbh/iam_apps.git
>>> Platform Source Files for older Releases
Platform generation source files for older Version of Xilinx Vitis™.

Example Git Repository
https://bitbucket.org/net-gmbh/iam_apps.git
Your contact at NET:
industrial@net-gmbh.com
+49 (0)8806 9234 0