DASDAE/das-anomaly
A Python package for anomaly detection in distributed acoustic sensing (DAS) datasets.
This tool helps geophysicists, seismologists, or operations engineers automatically identify unusual events in data collected from Distributed Acoustic Sensing (DAS) systems. It takes raw DAS data and converts it into power spectral density (PSD) images, then uses deep learning to flag anomalies. The result is a clear indication of unexpected activity in the sensing environment.
Use this if you need to detect anomalies like seismic events, equipment failures, or environmental changes from large volumes of DAS data without constant manual monitoring.
Not ideal if your data is not from a Distributed Acoustic Sensing system, or if you require real-time anomaly detection with very low latency.
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Python
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Last pushed
Dec 10, 2025
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