Unscrambler HSI

What is Unscrambler HSI?

Exploratory and multivariate analysis of hyperspectral images.

Unscrambler HSI brings a new level of insight to solving complex problems with the analysis of hyperspectral images. Based on the industry-leading spectroscopy tool, Unscrambler HSI has everything you need for transformations, external detection, and model validation to improve quality and results.

Easy-to-use multifunctional tool for exploratory and multivariate analysis of hyperspectral images to improve quality and results.

Better and faster answers to real-world problems across all industries:

• Online monitoring of the distribution of active ingredients in tablet production
• Rapid and non-invasive determination of meat quality and color
• Non-invasive online control of food quality and composition
• Non-destructive seal inspection and leak detection in packaging processes
• Diagnose plants for diseases, insects, water or nutrient deficiency
• Pipeline monitoring for condition assessment and detection of damage or leaks
• Material detection and sorting for efficient waste management

Core features

Exploratory modeling and validation

Explore analytics questions through an intuitive framework to discover insights when creating and validating models.

Better analytical insights

The use of multivariate methods to analyze HSI data provides significantly more information from each model than generic image analysis tools.

Real-time hyperspectral analysis

Use real-time HSI models to improve process monitoring or as integrated real-time solutions for classification and identification.

Powerful analytics, interactive visualizations and unique features for spectroscopy and chemometrics.

Unscrambler and Unscrambler HSI are designed to solve complex problems using powerful multivariate analysis, with unique features for spectroscopy, chemometry, and hyperspectral imaging analyses. Choose from more than 20 different methods for analyzing data, including design of experiments (DOE), exploratory data analysis, partial least squares regression (PLSR), principal component analysis (PCA), and smooth independent modeling of class analogies (SIMCA). Explore analytics issues through an intuitive framework and discover insights by creating and validating models to optimize product development, improve product quality, and process efficiency.

The world is multivariate. Your analysis should also be.

There's always more than one side to the problem you're trying to solve. It's the same in your data. Therefore, to discover all sides of your data, the latest multivariate and machine learning techniques are used to discover insights into your data that can lead to great discoveries – and the best quality of processes and products. Multivariate analyses have been being applied to process and product quality problems for decades. With Camo, you get powerful analytics tools based on our excellent analytical pedigree, proprietary software, and business success.

System Requirements

Windows 2003, XP (SP2 or higher), Vista, 2008, Windows 7, or Windows 8.

Processor: Any Intel or AMD-based processor

RAM: Minimum 2 GB (Top recommended)

Hard disk space: A minimum of 1 GB of free disk space is recommended

Microsoft.NET framework version 4.0 and 4.5

Internet Explorer 7.0 ou superior