Guides
Information and documentation on Breeze features and hardware setup
Hardware guides — Specific hardware suppliers settings and troubleshooting
- Supported hardware — List of supported hardware devices
- Hardware and settings guide — This guide will show how to setup Camera and Sample Mover in Breeze
- HySpex hardware installation — Connect to HySpex camera and troubleshooting
- Specim hardware installation guide — Specim installations requirements and troubleshooting
- Specim FX50 — Settings for Specim GFX50 (previously called generic Ethernet camera)
- Unispectral — How to connect and configure Unispectral camera
- INNO-SPEC — Configuration guide for INNO-SPEC RedEye 1.7+ cameras
- Resonon — Resonon camera settings
- Basler — Generic Basler cameras
- IDS — IDS industrial RGB cameras via GigE
- HAIP Solutions — HAIP Solutions BlackIndustry Sensor push-broom linescanner
- Qtechnology — Qtechnology hyperspectral camera
- HTTP Sample Mover — Generic HTTP sample mover, tray or conveyor
- LucidControl Sample Mover — Hard I/O conveyor belt controller.
- Prediktera Data Server — Stream data to Breeze from other software
- Detection Technology camera — Settings for Detection Technology camera
Machine Learning — Breeze allows for different applications of machine learning algorithms.
- Classification (ML training) — Train model to classify spectral data into classes
- Quantification (ML training) — Create quantification models using regression algorithms.
- Import of ONNX model — How to import ONNX models created outside of Breeze
- ONNX image segmentation — This guide shows how to use the object detection in Breeze for deep learning image segmentation.
- Training ONNX model using external python script file
- Enabling GPU acceleration — Enabling GPU acceleration
Dark and White References — This page explains dark and white references and how they are used in Breeze.
- Spectral imaging — This article outlines the software’s spectral imaging modes - Radiance, Reflectance, Absorbance, or None - and explains how each choice processes and interprets light signals.
- Reference averaging — Optimize disk space with compressed references, set defaults for new projects, and update existing measurements by averaging reference frames.
- Continuously update white reference based on the dark reference — By continuously updating the white reference based on the dark reference accuracy and speed improves in continuous measurement streams.
- Store White and Dark references — This guide shows how to store a white or dark reference so it can be used for more than one image.
- Changing spectra — How to specify absorbance, reflectance or radiance
Exporting data — Export in Breeze is used to make data available to other applications.
- Export to CSV text file — Output data and spectral average data for one or more segmentations from the Analysis tree can be saved as a CSV text file where column separator and decimal separator can be changed.
- Export predicted data — Predicted data are output data from Breeze’s analysis tree for a specific segmentation. You select the analysis tree segmentation to export, and other settings, as well as the output file type. The output data are saved in the different bands of the resulting image.
Workspace Settings — Breeze settings per workspace directory
- Measurement Name Template — The Measurement Name Template setting allows users to define the default names of recorded measurements
- Histogram smoothing — Provides configuration settings for histogram smoothing and band averaging in multispectral-to-RGB conversion, beginning with the minimum band count requirement.
- Wavelength matching — Breeze uses the closest match to find data for a wavelength, but a different above the setting for wavelength matching tolerance results in errors when applying the workflow to data.