Breeze Suite Features
Breeze feature overview

Record
Record from camera
A complete acquisition software that makes it easy to connect your cameras, adjust the settings, and preview your image. Quick set up the first time, and it will automatically connect to your camera the next time.
Record
Check your data quality
Directly view your recorded images and spectrum for quick and easy quality control of your recorded data. Apply reflectance targets to convert new raw images to reflectance, pseudo absorbance and radiance.

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Control Scanner Table and Field Setups
Breeze Recorder connects to supported scanner tables and field scanners that synchronises with your camera frame rate to provide seamless data acquisition. View list of supported hardware.

Record
Import Image Files
A wide selection of image file formats, point spectral data and other text and tables are supported.Â
- Images files: ENVI (bil, bsq, raw), mat, hdf, hyspex, pam, sc, sac, hips, jpg, png, tiff, and more…
- Single spectrum / library data: asd, txt, csv, xls, spc, mcf, mat, and more…
- Other text and data: xls, txt, csv, and more…
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Data Exploration
Unlock the full potential of hyperspectral imaging with powerful explorative analysis tools. This powerful research toolbox enables you to use multivariate modelling techniques to explore, analyse and understand the information hidden in your images and data. Its flexible graphical user interface provides a wide range of visualisations and a clear interaction between data and graphics makes the exploration fast and effective.

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PCA for Hyperspectral Data in Breeze
PCA (Principal Component Analysis) in Breeze reduces hyperspectral data complexity by transforming correlated spectral variables into principal components. This helps highlight key patterns for easier visualization and data selection. The PCA descriptor simplifies analysis across multiple images and provides insights into spectral contributions, improving data interpretation and understanding of the chemistry of your materials.

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Pixel Explore: Inspect Spectra in Breeze
Pixel Explore is a feature in Prediktera’s Breeze software that allows users to examine hyperspectral images at the pixel level, providing detailed spectral information for each pixel and for selected areas. This tool enables precise selection and analysis of regions of interest within an image, facilitating tasks such as manual segmentation and end-member creation. The image and data can for example be seen as scatter plots, pseudo RGB images and spectral plots.
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Data Analysis & Modelling
Breeze features a comprehensive toolbox for advanced hyperspectral data analysis, including machine learning, chemometric methods, comparison based methods, and band math functions. Seamless Python integration allows users to add custom algorithms. And the support for .ONNX files enables the user to run externally trained custom neural network models. Designed for both experts and beginners, Breeze enhances productivity and speeds up hyperspectral imaging applications.

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Classification in Breeze Analyze
Perform image analysis on pixel and object level where you have discrete data (i.e. classes A, B or C).

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Classification & Quantification in Breeze
Perform image analysis on pixel and object level where you have continuous variables (e.g. %, mg/l etc) using available methods

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Machine Learning in Breeze Analyze
Large selection of models that can be manually selected and auto function that proposes the best model based on cross validation. Available models:
- Neural network
- Decision tree
- Support vector machine
- Random forest
- Logistic regression
- Maximum entropy
- Poisson regression
- Linear Regression

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Chemometrics Tools in Breeze Analyze
Chemometrics models are powerful and fast tools for analysis, diagnostics and visualisation of your data. Available models:
- PLS
- PLS-DA
- Hierarchical PLS-DA,Â
- SIMCA,Â
- PCA,Â
- K-means
- Gaussian mixture mode

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Spectral Library Analysis in Breeze
Generate your own end member spectra in the software or import existing spectral libraries. Then compare with your hyperspectral data to perform the analysis. Available models: Constrained Spectral unmixing and Spectral angle mapper

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Band Math in Breeze Analyze
Select from a long list of available band math functions such as Vegetation Indexes, or write your own functions.

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ONNX Neural Networks in Breeze
Import and run externally trained neural network models thanks to our support for the .ONNX file format that can be generated using software like Matlab and Pythorch.

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Python Interface for Breeze Analyze
Run your own Python code for data processing steps in combination with the built in functions and methods in the software
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Object Identification & Segmentation
Breeze includes tools based on machine learning and the latest in neural networks and deep learning, with support for applying customer-provided models such as YOLO and Fast SAM in ONNX format, and custom processing via a Python interface. In addition to this you can do manual selection of regions of interests, and apply pixel binning, pixel coordinates and many others.

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Spectral-Based Segmentation in Breeze
Apply methods that use the spectral differences in your data to do image segmentation and detect objects, such as machine learning and chemometrics models as well as band method functions.

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Shape-Based Analysis in Breeze
Using the spatial information related to the shape of objects, you can apply methods based on deep learning and neural networks. The Breeze software includes the pre-trained FastSAM neural network for shape-based analysis, which can be used directly without any need for additional training. Other models, such as YOLO and Faster R-CNN, must be created and trained externally by the user, then converted to ONNX format for use within the software.
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Other Segmentation Tools in Breeze
Other segmentations based on pixel coordinates or manual selection of ROI are also available options. To make use of the data each pixel can provide, Breeze also includes segmentation options for dividing an object into subsections or selecting a desired amount of pixels from each object.
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Automated Workflows & Applications
Our software offers you the ability to build automated workflows for batch processing capabilities and real-time continuous analysis. By automating repetitive tasks and managing large datasets seamlessly, you can improve efficiency and enable less experienced users to perform advanced data analysis and quickly generate the results from the analysis.Â

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Analyse Tree: Visual Workflow Builder
Add your data processing functions such as spectral pre-processing, image segmentation, models and algorithms, outputs and statistics. The user-friendly menu with a large selection of different functions makes this easy and quick.

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Build Your HSI Workflow in Breeze
A visual representation of your data processing workflow makes it easy and intuitive to add, remove, or update the different data processing steps. At Prediktera, we call this an Analysis Tree – A tree structure where you can build your own workflow by adding functions to the nodes. The data processing workflow can run both sequential and parallel processing in multiple steps and can easily be shared with colleagues that can use it for their own analysis.

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Apply & View Results in Breeze Analyze
Quickly run your workflow one or a few images to test your analysis results, or apply it on hundreds of images with one click. View the results from the analysis in an interactive table with numbers and images.

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Table view
Get a quick overview of the analysis results in a table view that is interactive and provides a clear connection to images and objects. Â

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Export
In our software, importing and exporting images, data and project files is fast and effortless for collaborating or switching PCs. Easily manage your data and share projects and results with just a few clicks.

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HTML Report Export
Share the results of your analysis with colleagues that are not using the Breeze software. Get a quick overview of the analysis results in a table view that is interactive and provides a clear connection to images and objects.Â






