RAYN Vision System – Analytics

RAYN Vision System (RVS) Analytics is an open-source application for the processing and analysis of hyper and multispectral images from multiple sources, including RVS Cameras online in the same network. It is based on PlantCV, an open-source image analysis software package targeted for plant phenotyping.

An image of data being captured and graphed from a camera

Resources

Download Executable User Guide Release Notes v1.2.0 RVS Analytics GitHub PlantCV

Features

Data Source

Supports multiple hyper- and multispectral image sources.

User-Friendly Interface

User-Friendly Interface: Easily set regions of interest (ROIs).

Interactive Masking

Interactive Masking: Select masking methods and thresholds with ease.

Base Analysis Script

Base Analysis Script: Analyze shape, size parameters, and selected reflectance indices.

Custom Scripts

Customizable: Add your own analysis scripts and UI elements.

Preview Data

Preview Data Visualization: Quickly preview output

Open Source

Why Did We Open Source It?

We believe in giving back to the community and fostering true collaboration. By open-sourcing RAYN Vision System (RVS) Analytics, we aim to work closely with researchers and developers, acknowledging every contribution and ensuring that the collective effort benefits all. Additionally, we do not want to monetize a community-driven project, staying true to the open-source ethos.

Why Is This A Good Thing?

  • Innovation: Encourage rapid advancements through shared knowledge and contributions from a global community.
  • Accessibility: Make advanced spectral image analysis tools available to everyone, breaking down barriers to entry.
  • Transparency: Ensure accountability and trust through open development processes

Built On PlantCV

RVS Analytics is built on PlantCV, a well-established open-source library for plant phenotyping. By leveraging this robust foundation, we ensure that our tool benefits from proven methods and community-driven improvements.

True Collaboration

We are committed to working with the community on an equal footing. Instead of simply collecting data and feedback, we actively collaborate with scientists and developers to co-create and improve the application. All contributions are acknowledged and valued.

Where is the Code?

The source code for RVS Analytics is available on GitHub. You can access it here.

RVS Analytics GitHub

How to Contribute

We welcome contributions from developers, researchers, and users. To get started, check the repository on GitHub.

!