We provide advanced image analysis for high-quality life science and industrial applications.
We offer new opportunities in quantitative image analysis for both industry and research. Our high-quality services improve your workflows by taking advantage of image data analysis based on artificial intelligence and deep learning. Close collaborations with our partners in science enable us to include recent breakthroughs in leading edge technologies. Our custom-tailored, low-threshold tools handle big data, identify and extract validated information, and yield reproducible results. With our expertise, repetitive and tedious tasks can be considerably reduced and automatized, allowing a more efficient use of your resources.
KML VISION recently had the opportunity to give an interview on Radio Soundportal. Thanks for all your kind responses!
KML VISION is now part of the human.technology.sytria (HTS) Life Science Cluster. We look forward to great business collaborations in 2018!
KML VISION is now part of the MedTech Cluster (MTC) Upper Austria. We look forward to great business collaborations in 2018!
Watch our 90 seconds elevator pitch on facebook.
Photo (c) Foto Fischer Graz
We thank all participants at the international partnering day at the Krone Center in Graz for voting our pitch to receive the Best Pitch Award!
We had a great experience at the Falling Walls Event on November 8 and 9, 2017. Many great projects and startups were presented that will have a significant impact.
We had great meetings at the 23rd annual international partnering conference Bio-Europe 2017 in Berlin, November 6-8, 2017. Thanks to Life Science Austria (LISA) Vienna for including us in their portfolio at their booth!
On September 21, 2017, KML vision is going to look for partners in developing new applications at the international partnering day at the Krone Center in Graz.
Visit us at our poster, or get in touch: partner-up∂kmlvision.com.
Image courtesy: Gernot Muhr
KML vision participated in the I.E.C.T.-Hermann Hauser Summer School on Entrepreneurship 2017 and was selected to present at the Falling Walls Lab at European Forum Alpbach. Thanks to Miranda Weston-Smith for being a great mentor, check out her article on mentoring for global health.
We offer all types of services regarding software development for automated image analysis. No matter if you are a big or small company, a university institute, or a spin-off, we can provide state-of-the-art tools for a successful integration of image analysis together with machine learning to enhance your projects and products.
We are your perfect partner for extracting visual information from your images and videos.
We provide flexible assistance during the entire process: starting from consulting and performing feasibility studies, through requirements engineering, working on algorithm development and prototyping, and deploying high-quality integrated or end-user software products.
KML VISION is your innovative and reliable partner for each and every one of these steps - it is your choice, which we take together.
The following demonstrates a selection of R&D projects we are involved in, comprising digital pathology, computer-assisted diagnosis and software engineering for automated image analysis.
Scalable multi-user information system for mapping results of electrophysiological measurements with macroscopic images of the underlying anatomy.
Machine learning based detection and classification of hematopoietic cells in high-power histological images of bone marrow.
Automated grading of the tortuosity of the vascular system of the eye by analyzing retinal fundus images.
Automated classification of precursors and pathologies by machine learning based analysis of images of histological samples, e.g. automated diagnosis of different grades of anal intraepithelial neoplasia (AIN), myocardial fibrosis, etc.
Development of IQM, an extensible and flexible open-source (GPLv3) research tool, designed for convenient examination of digital images and signals in cooperation with the Medical University of Graz.
Development of the inter-observer reliability study module (IRIS) for Cytomine, an open-source (APL 2.0) rich internet application for collaborative analysis of multi-gigapixel images.
As partner of the International Association of Sciences in Medicine and Sports (IASMS.org), we developed a software solution to reliably and accurately determine the subcutaneous adipose tissue.
Automated video analysis for tracking objects, measuring lengths, etc., e.g. for beat rate extraction and beat-to-beat variability measurements in high-speed microscopy videos of zebrafish and embryonic chick cells.
Our technology can be used for quality control in different industries such as coating manufacturing or wood industry.
Classification of algae and microorganisms in water for quality control can be realized with our AI-based technology.
We strongly contributed to the following projects and publications: