Photovoltaic Fault Detector

Model-definition is a deep learning application for fault detection in photovoltaic plants. In this repository you will find trained detection models that point out where the panel faults are by using radiometric thermal infrared pictures. In Web-API contains a performant, production-ready reference implementation of this repository.

What can we detect?

Affected Cells

Diode Fault

Disconnected Panel


Other Repos

Here you’ll find all our other open-source repositories


Drones Data Processing Open Source Development Community.
Here you can co back to our home page


API specification for deploy the detection models, this repository contains a performant, production-ready reference implementation


Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops

User Interface (UI)

Administration tool for your organization projects. An intuitive control panel, with easy access to the EXIF meta-data, generate KMZ and more.

Do you want to contribute?

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