Mindset Detector
is constructed of logical components called “Detectors”. A detector is an algorithm, which is trained to detect a specific abnormality in data.

Mindset Detector
is constructed of logical components called “Detectors”. A detector is an algorithm, which is trained to detect a specific abnormality in data.

Machine Learning
A detector that raises alarms when required is considered more reliable over time, and its alarms gradually receive a higher priority.

Event Detection
Abnormality detection in water is much like detecting credit card fraud.

What is your Gain?
The gap between the detectors’ thresholds and regulation limits gives the water utility the option to react ahead of time.

Spatial Model
The special model detects abnormalities when the measurement in a station deviates from the expected value, computed according to the water quality at the origin station.

Tutorials - Set of Video Tutorials

Tutorials

Tutorials