Intelligent Image Processing Supports Production Workers in Industrial 4.0 Applications

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.

On the Track of Old Masters

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.

Business Perspectives and the Impacts of COVID-19 - Q&A with BitFlow Inc.

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.

How Hexapod Robotic Platforms Can be used to Test Image Quality of Digital Imaging Cameras

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.

AI for All - All-in-one Solution Makes the Technology User-friendly

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.

Seen, stored, learned - Self-learning robots solve tasks with the help of an Ensenso 3D camera

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.

Cut From the Same Cloth - Automatic 3D Recognition and Marking of Wooden Beams

An Ensenso N35 camera is used to capture the beam position and geometry. As soon as the timber is in the printing position, the robot automatically places the flange-mounted camera so that it can detect the surfaces of the beam.

AI for All - All-in-one Solution Makes the Technology User-friendly

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.

COMPUTER VISION AND ROBOTICS EXPAND INDUSTRIAL CAPABILITIES

How can industrial robots gain new abilities that can increase their operational value while remaining safe and secure in a factory collaborating with humans?

Discussing ATX West with LMI Technologies

Our FactorySmart® 3D sensors are used to improve production across the gamut of industrial applications, from factory automation to quality inspection and material/process optimization. Booth #4811

Deep Learning Enables Real-Time Imaging Around Corners

Researchers used deep learning to create a new laser-based system that can image around corners in real time. The systems might one day let self-driving cars "look" around parked cars or busy intersections.

What is Machine Vision?

Machine vision is used in a variety of industrial processes, such as material inspection, object recognition, pattern recognition, electronic component analysis, along with the recognition of signatures, optical characters, and currency.

Vision in Challenging Lighting Environments

Digital image sensors work based on the Photoelectric effect. When the image sensor is exposed to light (photons), an equivalent charge is produced by the image sensor. It is then converted to image data.

The Evolution of Robotic Sight and Machine Vision Systems

Robotic sight and machine vision systems can help our automata pick up on visual cues that we humans would probably miss or ignore, and they can deliver considerable value to companies that adopt them. Here's a look at where the technology has been and where it's headed.

Exact Trimming of Foam Parts With Ensenso 3D Camera

The conditions placed on original equipment manufacturers and suppliers are immense in order to ensure high quality and continuous improvement, waste reduction and error minimization.

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PI USA - Difference between Gantry & Split-Bridge

PI USA - Difference between Gantry & Split-Bridge

A traditional gantry system employs X-Y or X-Y-Z range of motion. Mounted on a base plate, usually granite, 2 parallel rails constitute the synchronized Y axis motion while the cross axis (bridge axis) provides the X motion. A vertical axis can be added on the bridge for the Z motion. A Split Bridge system can be less complex than a traditional gantry system because synchronization of the two parallel linear motors is not required. Both systems are used in industrial production, testing, and additive manufacturing.