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AI in machine vision
Neural networks hold the potential to revolutionise factory automation. But when should you use them, and how do you get the best out of them for building machine vision systems? Petra Thanner (High-
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IEEE Women in Engineering Award 2020
Nicole Brosch, scientist at the research group High-Performance Vision Systems at the Center for Vision, Automation & Control is the co-founder of the Austria Section of the WIE - IEEE Women in E
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HVS @ Control 2020
The Control is the world’s most important trade fair for issues covering all aspects of measuring and test technology, as well as vision technology, image processing and sensor technology. Immediatel
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VAC Senior Scientist Csaba Beleznai gives lecture at virtual fair "AI practice in companies"
Topic "Perception and learning for assistive and autonomous systems in industrial environments" for the audience of the magazine COMPUTERWELT The automated operation of machines and vehicles is an in
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DIGITAL EYES SAVE LIVES
Scientists at the Center for Vision, Automation & Control (VAC) teamed up with their partner Bombardier and developed an innovative technology to make urban traffic safer and to avoid accidents w
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New plugin for 3D height measurement in cloud-compare
Users of the 3D point cloud and mesh processing software CloudCompare can now enjoy a new 3D measurement tool for determining the height of points in virtual models. Philip Klaus, employee of the res
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HIGHLY ACCURATE MOBILE MAPPING DATA BY EMPLOYING INNOVATIVE IMAGE REGISTRATION ALGORITHM
In recent years, mobile mapping has gained significant importance in the area of high-resolution data acquisition techniques. Resulting geo-data is primarily useful for planning, maintenance and mana
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Civil courage, cybersecurity and disaster management
The Austrian security research funding programme - KIRAS - supports national research projects to increase security for all members of society. Organised by the Federal Ministry of Agriculture, Regio
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INLINE COMPUTATIONAL IMAGING
Berhard Blaschitz and Lukas Traxler (research group High-Performance Vision Systems / Center for Vision, Automation & Control) were invited to speak at SpectroNet Collaboration Conference-2
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Autonomous trucks find their path – even in poor visibility
Can autonomous trucks find their path in mines and on construction sites even if they change their layout and shape or the visibility is difficult? At the voestalpine lime mine, the project partners
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How do you avoid accidents between automated cars and cyclists?
The accident statistics of the European Road Safety Council (ETSC) shows that 47% of people killed in road traffic accidents in 2018 were pedestrians, cyclists or motorcyclists. 83% of cyclist fatali
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INDUSTRIAL DIGITALISATION AND AUTOMATION
Since September 1, 2020 Tobias Glück has been head of the Competence Unit Complex Dynamical Systems (CDS) at the Center for Vision, Automation & Control. With his appointment, the AIT Austrian In
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Wie lassen sich Wildunfälle verhindern?
Insbesondere in der dunkleren Jahreszeit sind Kollisionen mit Wildtieren keine Seltenheit. In der Saison 2018/19 verendeten mehr als 75.000 Tiere auf Österreichs Straßen. Doch auch für KfZ-Insassen s
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New ways to improve quality in steel production by real-time capable mathematical models
In the steel industry, optimal cooling of steel strips is essential for product quality. Scientists Martin Niederer and Andreas Kugi from the AIT Austrian Institute of Technology, together with
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At the forefront of innovation
From April 23 to April 26, 2024, the focus was on quality assurance. At Control, the international trade fair for quality assurance in Stuttgart, 475 international exhibitors presented modern quality
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Women in image processing
At this year's European Conference on Computer Vision (ECCV), organized by the European Computer Vision Association (ECVA), the "Transparent & Reflective objects in the Wild" (TRICKY) C
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AIT Austrian Institute of Technology “Machine Vision Lab” in the media spotlight
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Project mAIntenance
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COOKING IN VOLKSHILFE VIENNA
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Live demo: Autonomous forklift in the AIT Large-Scale Robotics Lab
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