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Practical AI and computer vision technology is being developed for systems that span virtually every application, and many of these application areas will experience huge growth rates. With trendsetting products demonstrating what is possible, system designers have discovered that the suppliers of computer vision technology have removed the barriers to building practical computer vision systems—unleashing a huge wave of innovation for new products and applications.
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Ease of use lowers entry barrier for users without prior knowledge In order to implement AI vision solutions, specialist knowledge, development effort and investment in computer hardware and storage technology are usually required. With cloud computing and specialized training services such as IDS NXT lighthouse, the process becomes much easier: neural networks can be trained
June, 2020, Muenster, Germany – XIMEA, pioneer in industrial cameras with high speed interfaces, started to deliver new models from high resolution line of PCI Express based cameras. The well-known high-speed camera line from XIMEA called xiB-64 (https://www.ximea.com/en/products/pci-express-high-speed-cameras-xib/fast-speed-models-64-gbps) already includes fast models ranging from 1 Mpix at 3600 Fps to 16 Mpix at 300 Fps.
This market research report was originally published at Yole Développement’s website, and is extracted from the “Artificial Intelligence Computing for Automotive 2020 Report.” It is reprinted here with the permission of Yole Développement. OUTLINES: Who are the winners and losers in the race for autonomy? The marriage of AI and computing is at the heart
06/08/2020 – Starting immediately, Baumer is offering neoAPI and the Camera Explorer – two new free-of-charge software packages for fast, easy, and efficient camera integration. The software is available for PC- and ARM-based systems under Windows 7, Windows 10, and Linux. Baumer neoAPI offers efficient camera integration in Python, C++, and C#. The new powerful
June 4, 2020 – FRAMOS, the global partner for Vision Technologies, extends its line of industrial grade versions of Intel’s® RealSense™ Suite providing Gigabit Ethernet connectivity and an IP66 rated housings. The D415e industrial 3D GigE Vision camera leverages the advantages of easy-to-integrate 3D vision in rugged environments; enabling real-time positioning, orientation, and tracking of
Machine Vision: MVTec Presents Itself at VISION China Shanghai and Celebrates the Opening of Its New Subsidiary in China
Exhibiting at the VDMA joint pavilion HALCON 20.05 and Deep Learning Tool in focus Presentation of the hardware-software bundle with MERLIC and PALLAS Celebrating the opening of the new subsidiary Munich, June 4, 2020 – MVTec Software GmbH (www.mvtec.com), a leading international software provider for machine vision, will present its current release HALCON 20.05 at
Rolling shutter sensor IMX183 now also available as IDS board-level cameras March 16, 2020 – The smallest details must be detected precisely in many applications requiring surface inspection or measurement. Light-sensitive and extremely high-resolution sensors such as the IMX183 from Sony are the best choice here. The resolution of 5536 x 3692 pixels also enables
Basler launched an Embedded Vision Development Kit and two Add-on Camera Kits with BCON for MIPI interface for NVIDIA® Jetson™, the comprehensive AI platform for autonomous machines. As a Preferred Partner of NVIDIA, Basler now offers fully integrated hardware and software packages for the Jetson family. Ahrensburg, June 2, 2020 – Basler, a leading global
Innovative Dataset Extends the Geographic Reach for Researchers and Developers to Accelerate Machine Vision Testing of Thermal Sensors for Automotive Use ARLINGTON, Va. – May 27, 2020 – FLIR Systems, Inc. today announced the availability of its first European thermal imaging regional dataset and the third in a series of thermal imaging datasets for machine
What’s New: Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) are co-developing technology to enable a federation of 29 international healthcare and research institutions led by Penn Medicine to train artificial intelligence (AI) models that identify brain tumors using a privacy-preserving technique called federated learning. Penn Medicine’s work