Apply classification models automatically to data collected from process based instrument(s).

Specify the level of detail of the results obtained. These can range from only the class members, to members, distances (scaled/nonscaled), variances, scores and leverages.

Ensure reliable results within pre-defined limits. Preview classification results within the client software. Results can also be saved in tabulated form or as graphs.

Models developed can be seamlessly transferred with no prior knowledge of The Unscrambler®. This leads to lower manufacturing costs and maximises ROI.

The Unscrambler Classifier is a CAMO initiative designed to make classification models generated in The Unscrambler^®, more widely accessible to third party instruments and control systems. Classification of new samples is then possible in either an at-time or in-line mode of analysis and results can be displayed in tabular or graphical formats.

Brochure

The Unscrambler Classifier can be integrated into a client software platform by writing API function calls into it. Whether the software is developed in C/C++, Visual Basic, Fortran etc. functions are called in a DLL. New samples from the client software are fed into Unscrambler Classifier for reliable classification results.

Perform real-time classification on raw data obtained from laboratories or process equipment
SIMCA classification
DLL function calls (32-bit) for easy usage
Automatic data preprocessing, supports all pretreatments available in The Unscrambler®
Programmers reference manual available for in-house customisation
Supports The Unscrambler®'s merged model file format for PCA. This format includes all model and pretreatment subfiles into a single file. This facilitates storage and re-location of The Unscrambler® model files for usage in Unscrambler Classifier
Supports PCA models built in The Unscrambler® 7.x + higher
Supports multiple models simultaneously
Outputs Hotelling T2 statistics, to help facilitae the detection of outlying samples
Can be used together with Unscrambler Predictor (for online prediction)
Runs under Windows 2000, XP, 2003 and Vista

Make classifications from raw data
Works with The Unscrambler v 7.X + higher.
Automatic preprocessing of new data
Works with several sets of models simultaneously
Documentation and code examples follow the software

Provides quality measure used on the output of spectrometers or other process instruments
Process surveillance, on-line quality assurance, automatically accepting or rejecting items
On-line recognition and sorting of objects based on a combination of characteristics. for e.g. weight, size, shape etc
Identify contaminated samples based on multiple measurements
Classification of raw materials based on measurable characteristics
Integration of spectral / chromatographic data of samples, which can be configured to classifysamples into groups like Good/Bad, Pure/ Adulterated etc

'Unscrambler Classifier formerly known as OLUC'

Business Partners

SIPAT is the software solution of Siemens to support PAT implementation.

The Unscrambler® is used to build multivariate models. With the integration of Unscrambler Predictor and Unscrambler Classifier these models can now be utilized for online prediction and classification in the SIPAT system.