Real-Time Industrial Anomaly Detection

Identify operational outliers and equipment anomalies from telemetry streams in a industrial setup.

Note: This project was developed as a technical demonstration or research pilot and is not presented as a client deployment.

The Challenge

Identify operational outliers and equipment anomalies from telemetry streams in a industrial setup.

Engineered an unsupervised Isolation Forest anomaly detection pipeline running on telemetry streams with automated alert thresholds.

Demonstrated anomaly-detection workflows on project telemetry data under prototype test conditions.

Scikit-learn

Kafka

Python

Grafana

Docker

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