Deep Learning CNN Service Packages
Deep Learning achieves the necessary processing speed for production and can already replace existing solutions today. Inference suffices for the demands of inline inspection. New higher-performance Camera Link frame grabbers such as the microEnable 5 marathon deepVCL, equipped with a CNN run time license, already include larger FPGA processors with the necessary high processing power and bandwidth needed for deep learning applications.
Development and Implementation Service
Larger FPGA resources make it possible to implement more complex architectures and thus applications at concurrently higher bandwidths. Future generations of frame grabbers will be equipped from the outset with appropriate power for the inference of very large neural networks. Users can continue to use their existing image processing system consisting of cameras, cables, lighting, sensors, and actuators.
Due to the high number of inquiries, we are already offering services as complete development or as implementation support today. An expansion of VisualApplets for self-programming is planned and will be released at a later date.