Vision, Robotics & Motion is a highly anticipated event in the manufacturing industry that will take place in the Netherlands on the 7th and 8th of June, 2023. It will celebrate its 20th edition in 2023.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
Axelera AI
Semiconductor Manufacturing
Creating a powerful, efficient, and competitive AI-native hardware & softwa...
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A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Detecting inconsistencies in device behavior offers insights into how to improve user experience. using a high-speed camera, this use case deep dives into device response time measurement using a black-box approach that replicates real-world touchscreen usage.
5 minutes read
Matroid's computer vision obfuscates any data deemed sensitive in video media.
2 minutes read
Over the next decade, we can expect to see exponential gains in performance and power efficiency of embedded computer systems.
5 minutes read
Unsupervised domain adaptation is the solution to overcome the challenge of limited training data effectively.
4 minutes read
The MAAS project team developed a unique, end-to-end solution for the assembly of airplane wing parts, which uses Photoneo 3D vision technology to handle challenges such as screw hole misalignment, panel to panel step height, and gaps out of specification.
4 minutes read
3D scanning and robotic manipulation of very thin objects such as wiring harnesses by the Department of Electrical, Electronic and Information Engineering at the University of Bologna.
Fast localization and picking of multiple objects with Photoneo's Locator Studio for 3D picking in collision-free environments, PhoXi 3D Scanner, and a universal gripper.
Deep-Learning technology helps industrial engineers with continuous improvement, line balancing, and optimizing manual labor.
2 minutes read
EPFL researchers have teamed up with Dartfish and the Lausanne Hockey Club to push the boundaries of sports-performance analysis by applying computer vision and machine-learning technology to action on the ice.
3 minutes read
Producing chirality, a property found throughout nature, through large-scale self-assembly could lead to applications in sensing, machine perception and more.
4 minutes read
Article #5 of the "Why Edge?" Series Moving Computer Vision to the Edge offers advantages in security and latency.
Matroid's deep-learning system comprising of 3D-CNN helps to automatically detect Glaucoma from a single raw Optical Coherence Tomography (OCT) scan. The results are close to human doctors across heterogeneous datasets and scanning environments.
Newly developed method does it all with just a few pixels
