NET has refined the Open Camera Concept. Now, even users without any FPGA expert knowledge can integrate their own algorithms into iam. They benefit from a powerful SoC architecture. The combination of parallel and serial image processing means that they can solve their individual tasks more efficiently than ever before.
Variety of image sensors
iam meets the individual demands placed on the imaging camera system. A wide range of CMOS image sensors is available for this. Combined with the right C-, S-, or F-mount lens, the smart vision system can master practically any challenge. iam also provides the opportunity for a multi-sensor solution. This makes various applications possible with an integrated smart vision system: for 3D imaging using stereo vision or even as a multi-spectral system or for capturing simultaneous images from several perspectives.
Machine Learning ready
iam is ideal as a platform for Machine Learning tasks. The integrated hardware acceleration efficiently supports open neural networks such as Caffe, TensorFlow and MXNet. This means that users get a smart vision system that contributes decentrally to the application solution. iam enables them to develop precisely tailored solutions for their vision-based processes.
