Box PC Vision Box DAYTONA

embeddedARM® Cortex®-A57 quad-coreUSB 3.0

Embedded Box-PC supporting Nvidia Jetson TX2 Suitable for deep learning inference and other applications requiring a GPU accelerator Supports vision relevant interfaces Compact, low power consumption, long-term availability Several applications require an accelerator which understands CUDA based software. For the industry, short-term available high power-consumption GPU cards are not the optimal solution. NVidia offers with the Jetson TX2 the combination of a multi-core ARM-based CPU and 256 GPU shader able to run your CUDA code. But a vision application does not need just a CPU and GPU – it needs vision relevant interfaces. The GPGPU computer Vision Box DAYTONA serves all the requirements: cameras can be connected with a single cable able to transport the data, power and especially the trigger signal. IO and an encoder interface support sensors and actors. And finally, for easy access from outside, a modem can be connected directly to your support team. All the functions are covered in an industrial, fanless, low power consumption housing. The fanless vision computer Vision Box DAYTONA – image processing hardware for the following applications: Deep Learning Inference Programs. While the learning phase of neural networks runs offline in the cloud or on a specialized computer, the executable program of deep learning, so-called inference programs runs on the Vision Box DAYTONA and makes it a powerful inference computer. Hyperspectral Imaging: This is a new dimension of big data coming from cameras able to „see“ what the human doesn’t see. Up to 1 700 nm wavelength, SWIR based cameras create data to analyze e.g. material.