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You can use Kinesis Video Streams to collect a variety of time-encoded data such as RADAR and LIDAR signals, temperature profiles, and depth data from industrial equipment. You can then analyze the data using your favorite machine learning framework including Apache MxNet, TensorFlow, and OpenCV for industrial automation use cases like predictive maintenance. For example, you can predict the lifetime of a gasket or valve and schedule part replacement in advance, reducing downtime and defects in a manufacturing line.
Are there any examples of how to stream non-video time-encoded data such as temperature profiles into KVS, both using GStreamer and (ideally) only the C++ Producer SDK directly?
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In the KVS FAQ for common use cases, it says:
Are there any examples of how to stream non-video time-encoded data such as temperature profiles into KVS, both using GStreamer and (ideally) only the C++ Producer SDK directly?
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