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).
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.