<h1>PRC - <b>Pattern Recognition</b> Company</h1>
<p>The Pattern Recognition Company offers outstanding expertise in solving pattern recognition problems in various domains.
<p>This expertise is based on many years of experience in computer vision, multidimensional signal processing, machine learning, and neural networks.
<p>For our customers we develop applications in image processing, machine vision, computer-aided diagnosis, data analysis, and industrial automation.
<p>PRC solutions are designed and developed in close collaboration with our customers. The development is supported by expertise and know-how of various research institutions like the Institute for Neuro- and Bioinformatics at the University of Lübeck or the Image Processing Group at the Politehnica University of Bucharest.
<p>Medical vision: pattern recognition in cellular and tissue images
<p>As the reliability and performance of computer-vision and machine-learning techniques increase, computer-aided diagnosis is gaining growing acceptance. PRC is developing demanding pattern recognition solutions for automated diagnosis based on images of cells and tissue.
<p>Recognition of handwritten digits for parcel sorting
<p>PRC has developed a novel approach for pattern recognition, which considerably improves the state-of-the-art recognition performance of handwritten digits at reduced development costs. The key component is a novel method for automatically extracting optimal features for a given problem domain from a particular data set.
<p>Optical inspection for quality control in production processes
Globalisation and worldwide competition impose new challenges on the quality and costs of production lines. PRC is developing machine-vision and pattern recognition solutions for automatic quality control in production processes. Efficient machine-learning techniques are used to design classifiers for a variety of image-based inspection tasks.
<p>Machine-learning solutions for industrial automation and process control
The growing amount of sensor data in industrial automation can only be beneficial with adequate methods and algorithms for data analysis. PRC is developing data driven solutions for improving the production processes in the steel industry. Machine learning techniques are used to increase the reliability of the data, to make predictions, and optimize the relevant production parameters.</p>