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
Soiling
Other Repos
Here you’ll find all our other open-source repositories
Home
Drones Data Processing Open Source Development Community.
Here you can co back to our home page
Web-API
API specification for deploy the detection models, this repository contains a performant, production-ready reference implementation
OpenAgro
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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