pixolus offers mobile image recognition for fast and easy data entry. Simple scanning with a smartphone or tablet replaces tedious and error-prone retyping. Our software reliably reads and digitizes visual information.
Our recognition solutions are robust, fast and simple to use. Image recognition is performed directly on the smartphone, tablet, or mobile computer. The results are instantly available for display or further processing.
Our software modules for data capture, recognition, and handling can be integrated into your existing or planned solutions.
Visual data capture from receipts, price tags, product codes, or IBANs for accounting to meter readings for energy providers – almost any application area can benefit from pixolus’ camera-based data entry.
Our team totales decades of experience in computer vision and machine learning. We have a deep understanding of software development and what it takes to turn a good algorithm into a functioning solution and good user experience. We offer complete solutions or software components, optimized for your processes and needs.
pixometer is the complete solution for meter reading submission by the customer: a branded customer app for meter recognition, middleware for data handling and synchronization, and finally data import to your accounting system (SAP IS-U) or Meter Data Management system.
pixometer SDK can easily be included into existing or planned solutions and provides our technology as a software plug-in.
pixometer Pro is our solution for enterprises. Support your employees in field service processes.
More information can be found here.
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Mark is CTO of pixolus. He graduated with a Ph.D. in electrical engineering and computer science from RWTH Aachen University. Afterwards he worked at Fraunhofer IAIS as post-doctoral researcher, scientific consultant and project leader. He is an expert for object detection, tracking, and machine learning. Mark is co-author of the open-source computer vision library OpenCV. In addition to that, Mark is interested in software design, rapid prototyping and agile project management.
As CEO Stefan ensures that pixolus is commercially successful. He studied business administration at University of Cologne and University St. Gallen and received a Ph.D. in Targeted Advertising from University of Leipzig. His business career led him to management positions at insurance companies.
Barbara is a computer vision expert with a strong background in machine learning. Her interests include multimedia analysis and retrieval, object detection and person detection. She received a M.Sc. in Computer Science from Bonn-Rhein-Sieg University of Applied Sciences and graduated with a Ph.D. from University of Bonn. She also worked at Fraunhofer IAIS as a researcher and scientific consultant in several research projects.
Steffen is an expert in video coding and application development. He received a Ph.D. in Video Coding from RWTH Aachen University. Afterwards, Steffen worked at Panasonic R&D with a focus on video signal processing, video compression standardization and strategy development.
Markus graduated with a Ph.D. in electrical engineering and computer science from RWTH Aachen University. He worked as a post-doctoral researcher at University of Ottawa, and as a researcher and project leader at Bosch Corporate Research. His research interests are camera systems and embedded image processing applications.
Marco is our expert for image analysis and signal processing. He graduated with Dipl.-Ing (M.Sc.) in electrical engineering from RWTH Aachen University. Afterwards, he worked at a joint lab of RWTH Aachen University and Philips Research where he researched in tumor localization from MRI data.
Gencosman Kaya is our newest team member with a strong focus on online marketing. Before joining pixolus, he worked as a project and marketing manager for different startups and middle-sized companies. He graduated with a diploma in business administration and a master’s degree in communication management.
Tel. +49 221 949992 0
Eupener Straße 165
50933 Cologne, Germany
Tel. +49 221 949992 0