Quantification, qualification and classification · Plant phenotyping (segmenting plant parts) Food...
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Revolution of Digital Imaging Cubert Utils perClass The S185, Cubert’s most popular hyperspectral snapshot camera provides a lots of information that must be interpreted. This process can be challenging and time-consuming. It typically requires programming and a high-level of expertise in applied statistics, machine learning and remote sensing. The path to real- time production is often unclear and deployed solutions are not easily reconfigurable. perClass Mira enables anyone to create and deploy automatic interpretation solutions without programming or machine learning expertise - (1) record spectral data with your Cubert camera, (2) transfer this data to perClass Mira and train as well as evaluate an efficient classifier for specific materials and (3) apply this classifier on the live data stream as plugin to the Cubert Utils software. Place a sample of rocks under the S185 Make a first evaluation of the spectra After learning with perClass Mira, let the camera software classify and label the different rocks full automatically Quantification, qualification and classification Providing a solution Identify the Invisible – Adding real-time classification to Cubert Utils Key features Easy-to-use, results in minutes Automatic model building using state-of-the-art Machine Learning Intuitive and precise labeling and annotation tools Higher quality labeling with Active Learning guidance Better models learned from and validated on multiple images Interactive fine-tuning of performance Based on application requirements Deep Learning for hyperspectral images Leverage spatial & spectral information GPU accelerated deployment solution is built using powerful automatic machine learning engine that selects the best statistical model for given labeled examples. It is build for real-world use cases that are non-linear, multi-class and multi-modal.
Transcript of Quantification, qualification and classification · Plant phenotyping (segmenting plant parts) Food...
Revolution of Digital Imaging
Cubert Utils perClass
The S185, Cubert’s most popular hyperspectral snapshot camera provides a lots of information that must be interpreted. This process can be challenging and time-consuming. It typically requires programming and a high-level of expertise in applied statistics, machine learning and remote sensing. The path to real-time production is often unclear and deployed solutions are not easily reconfigurable.
perClass Mira enables anyone to create and deploy automatic interpretation solutions without programming or machine learning expertise - (1) record spectral data with your Cubert camera, (2) transfer this data to perClass Mira and train as well as evaluate an efficient classifier for specific materials and (3) apply this classifier on the live data stream as plugin to the Cubert Utils software.
Place a sample of rocks under the S185
Make a first evaluation of the spectra
After learning with perClass Mira, let the camera software classify and label the different rocks full automatically
Quantification, qualification and classification
Providing a solution
Identify the Invisible – Adding
real-time classification to Cubert Utils
Key features
Easy-to-use, results in minutes
Automatic model building using state-of-the-art Machine Learning
Intuitive and precise labeling and annotation tools
Higher quality labeling with Active Learning guidance
Better models learned from and validated on multiple images
Interactive fine-tuning of performance
Based on application requirements
Deep Learning for hyperspectral images
Leverage spatial & spectral information
GPU accelerated deployment solution
is built using powerful automatic machine learning
engine that selects the best statistical model for given labeled examples. It is build for real-world use cases that are
non-linear, multi-class and multi-modal.
[email protected] · Tel.: +49 731 708 156 00 Cubert GmbH · Lise-Meitner-Straße 8/1 · 89081 Ulm www.cubert-gmbh.com
Machine Vision
Applying
Version 1.2
Cubert Utils perClass MiraTake a hyperspectralimage with Cubert Utils
Automatic model search
Improve labeling and retrain model
Apply classifier on live data stream in Cubert Utils
perClass Mira - Add-on is available as:
• One month license• Annual license• Permanent license
Improving the model:• Interactively lower errors
with a direct feedback• Active learning
guidance to paint new relevant labels
• Validate or learn from more images
Export the image to perClass Mira
Paint labels in the image
Define classes of interest
Misclassified
Exclude weak bands from being considered by the model
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Plastic separationPaper sortingMaterial transition identification
Tissue classificationPill type identificationBlood detection
Agriculture & Food Quality
Plant disease detection (virus and fungal infections) Plant phenotyping (segmenting plant parts)Food authenticity by geographical origin and variety
Land cover classificationIn-flight image segmentationfor drone operations (plants, soil types, fruit)Plastic detection
Recycling & Material Science
Medical, Pharma & Forensic
Remote Sensing & Environmental
Applications
