Sensor and Data Anomaly Detection


A solution for expansive data

As sensor networks and the monitoring of water and wastewater infrastructure expands, both the number of devices transmitting data and the amount of data being collected is growing exponentially.

How do you know you are getting good data that meets your analysis needs? Are data outliers an anomaly to be studied, or sensor error to be ignored? Instead of continuously combing through worksheets, month after month, study after study, why not train a Machine Learning algorithm to do the work for you?

Training Machine Learning Algorithms to work for you

Machine Learning can be applied as stream analytics while data is being processed into cloud storage. Making sure only the best quality data is going into analysis and models, and providing the most accurate outputs and results.

Check icon Outlier Detection

Check icon Pattern Recognition

Check icon Topology Based Optimization

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