Autonomous Machine Vision (AMV) is a new approach to quality assurance, designed to be more than automatic, but autonomous, from determining the ideal number of samples the system needs to learn the characteristics of an item.
The GPU is constantly evolving, and not just for gaming or 3D graphics for product design, but it is increasingly be tasked with supporting machine learning and AI inference analysis through its parallel processing with the ability of simultaneous multiple computations.
If you are an investor, business leader, or technology user who seeks to understand the technologies you are investing in, this article is for you. What follows is an explanation of vision-guided robotics and deep-learning algorithms.
Manufacturers have long relied on human vision for complex picking and assembly processes, but 3D vision systems are beginning to replicate the capability of human vision in robotics.
We are currently focused on two main solutions - human presence detection with depth for autonomous mobile robots and UV-C disinfection robots. We also focus on obstacle detection and avoidance as well as localization and mapping for AMRs.
Improving Image Stabilization with Hexapod 6-Axis Motion Simulators for More Reliable Image Capturing
Taking sharp pictures despite fast changing lighting and ambient conditions, recognizing traffic signs or road markings in driver assistance systems, or identifying dangerous situations in surveillance systems - all of this is possible today with the help of modern cameras.
With more than 70% of labor in warehousing being dedicated to picking and packing, numerous companies are gradually investing in logistics automation. But what happens when the robots must handle an unlimited number of (unknown) stock keeping units?
The success of machine vision in industrial manufacturing is due to the fact that it provides faster, more accurate and more cost-effective QA than manual visual inspection.
A sentin VISION system uses AI-based recognition software and can be trained using a few sample images. Together with a GigE Vision CMOS industrial camera from IDS and an evaluation unit, it can be easily embedded in existing processes.
Automation plays a major role in Industry 4.0. Cost reduction, increased productivity and zero-defect quality are factors that are increasingly prompting companies to digitalize their processes. But often full automation also means high investments.
The analytical examinations of the painting were carried out not only before starting the treatment, but also during the cleaning. This allowed valuable information to be gathered on the condition of the surface layers as well as the layer structure and the materials used.
Donal Waide, Director of Sales at BifFlow Inc. shares with us his thoughts on how BitFlow is managing through the pandemic as well as insights into what the future of Robotics and Automation may be.
Taking sharp pictures despite poor lighting conditions, taking snapshots without blurring, recognizing traffic signs and road markings or identifying dangerous situations with specific systems - all of this is possible today with the help of modern cameras.
Deep learning opens up new fields of application for industrial image processing, which previously could only be solved with great effort or not at all. The new, fundamentally different approach to classical image processing causes new challenges for users.
At the Institute for Intelligent Process Automation and Robotics of the Karlsruhe Institute of Technology (KIT), the Robot Learning Group (ROLE) focuses on various aspects of machine learning. The scientists are investigating how robots can learn to solve tasks by trying them out independently.
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Harmonic Drive LLC, a leader in high precision motion control introduces new lightweight versions of select gearhead products. The new gearheads are ideal for designs where weight is a critical factor. Building on the success of Harmonic Drive LLCs current gear units, new lightweight versions were the next logical evolution of the CS/ SH product lines. With weight reductions of 20-30% without any reduction in torque ratings, the Lightweight (LW) gear units provide exceptional torque density.