Boards
Pre-installed machine learning algorithms
With the DNP/AISS1, SSV is presenting an evaluation board with various sensors and pre-installed machine learning algorithms for industrial applications.
The aim is to create applications that convert sensor data into information using classification or regression, for example. The board includes a Docker container. This contains preconfigured and ready-to-use development tools for the training phase and modeling. A webinar is also offered to all board users. According to SSV, traditional firmware development for embedded systems is time-consuming and relatively inflexible over the entire product life cycle, which is why the company is taking a new approach: An adaptive algorithm with artificial intelligence (AI) is inserted between the input and output data of a microcomputer and configured for a specific task using special training data. This creates a mathematical model that maps the respective relationship between the inputs and outputs.
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