Pattern recognition in 2d graphical data
Once the AI is 'trained' on different signatures, I want to then feed it realtime data and then the AI would be analyzing this realtime data (at a configurable time period) to look for these signatures.
I should be able to tell the tool to find me signatures with an 80% similarity to the 'baseline' that was fed in earlier.
This tool can then be used to analyze data to look for potential problems. For example, if a machine starts up and the vibration signature is 90% similar, but the amperage signature is 60% similar then we may be looking at a potential issue.
MongoDB - Build AI That Scales
