Vision Guided Robotics & Artificial Intelligence: An Explanation for the Non-Technical

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.

Tips for choosing a 3D vision system - The future of vision systems in manufacturing

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.

Handling Omnidirectional 3D Vision Data in Mobile Robots

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.

Picking the Unknown - Robust and Flexible Robotic Automation in Logistics

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?

Responding to the Market Need for Quality

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.

Automate Image-based Inspection with Artificial Intelligence

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.

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.

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Schmalz Technology Development - The Right Gripper for Every Task

Schmalz Technology Development - The Right Gripper for Every Task

In order to interact with their environment and perform the tasks, lightweight robots, like all industrial robots, depend on tools - and in many cases these are vacuum grippers. These form the interface to the workpiece and are therefore a decisive part of the overall system. With their help, the robots can pick up, move, position, process, sort, stack and deposit a wide variety of goods and components. Vacuum gripping systems allow particularly gentle handling of workpieces, a compact and space-saving system design and gripping from above. Precisely because the object does not have to be gripped, the vacuum suction cupenables gapless positioning next to each other.