Using machine vision without prior programming skills
The integration of professional machine vision applications is usually very complex. Since no programming skills are required for such machine vision software, industrial image processing can thus also provide a valuable contribution to digitization.
60 Plastic bags per minute perfectly positioned
For fully automated pick-and-place applications, it is important that robots can reliably grip differently shaped and translucent objects, as well as objects with complex surfaces.
Robot plays "Rock, Paper, Scissors" - Part 2/3
The app forms the second phase of the project and - generally speaking - is intended to enable players to play against a simulated computer opponent. It builds on the trained AI and uses its results further.
How important is domain specific data? - The data challenge for AI applications in quality inspection
The concept of pre-trained deep learning models has gained prominence as a means to facilitate rapid development across multiple applications. We even hear about deep learning models that just need minor tweaks to perform optimally on some applications.
Robot plays "Rock, Paper, Scissors" - Part 1/3
In his search for a suitable camera, he came across IDS NXT - a complete system for the use of intelligent image processing. It fulfilled all requirements and, thanks to artificial intelligence, much more besides pure gesture recognition.
Implementing Advanced Vision Systems for Safer Robotics
Robots could revolutionize workplace safety. For that to happen, though, the organizations employing this technology must equip it with tools to help it recognize and respond to hazards. That means capitalizing on machine vision.
Tips for choosing a 3D vision system - The future of vision systems in manufacturing
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Advanced 3D vision systems are a stark contrast to the vision software of manufacturing's past. Many existing systems still require professional CAD programming to ensure the robot can recognise shapes.
HALCON reliably checks bottle cap imprints
Machine vision offers enormous advantages for many areas of application, such as quality assurance. In addition to high accuracy and speed, high flexibility and availability are also important for practical use.
Fixed-focus lens vs. autofocus lens: How to choose the best lens for your application
In this blog, you'll learn about these two lens types with key insights into their attributes and best-use scenarios in the world of embedded vision.
LUCID Showcases its Latest 3D Time-of-Flight Cameras for Enhanced Logistics and Automation Efficiency at MODEX 2024
LUCID will demonstrate the Helios2+ Time-of-Flight camera, offering two on-camera depth processing modes: High Dynamic Range Mode (HDR) and High-Speed Mode.
The Role of Inertial Measurement Unit (IMU) in 3D Time-of-Flight Cameras
An Inertial Measurement Unit (IMU) detects movements and rotations across six degrees of freedom, representing the types of motion a system can experience.
Exploring 3D Trends in Machine Vision Industries: Tomorrow's Vision Today
3D machine vision technology is playing a primary role in reshaping numerous industries, such as manufacturing, healthcare and autonomous vehicles
Why Vision-Guided Systems Elevate Assembly Line Precision
Advances in machine learning technology have made once-unreliable vision-guided robots an attainable, commercially viable reality. These systems improve assembly line precision in many ways.
Unveiling the Unlikely: Surprising Sectors Transformed by Robotic Innovations
While it's second nature to associate autonomous systems with typical users like automobile manufacturing and electronics, there exist less obvious industries where they've found an unpredicted home.
CoaXPress over Fiber
Fiber optics transmit data as pulses of light through strands of fiber made of glass or plastic. When bundled with hundreds of other strands, the resulting fiber optic cable will transmit more data at faster speeds and over longer distances than high-grade copper cables.
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