How NVIDIA Jetson AGX Orin™ helps unlock the power of surround-view camera solutions
The blog explains how these cameras enable precise maneuvering, reduce manual intervention, and enhance safety in various embedded vision applications.
6 Ways AI is Improving Robot Perception and Navigation
The diversity of applications for AI robotic perception improvements will extend Industry 5.0 beyond its perceived potential.
See more, automate better: IDS at the SPS 2024
Around 1,200 companies will be represented in a total of 16 exhibition halls at the trade fair for smart and digital automation. IDS will be taking part for the first time, focusing on industrial image processing for robotics, process automation and networked systems.
2D cameras for positioning and inspecting ultra-fine wires in semiconductor production
Wire bonding is a key process in semiconductor production. Extremely fine wires with diameters of 15 to 75 micrometers are used to create tiny electrical connections between a semiconductor chip and other components.
Stereo vision camera provides 3D information from a distance of approx. 20 centimeters
The great strength of Ensenso B lies in the very precise detection of objects at close range. It provides a wide field of view and an impressively high depth of field.
Picking the right chart - (Semi-)Autonomous surface and underwater mapping for rivers and lakes
On the camera side, the Fraunhofer Institute relies on two uEye FA industrial cameras from IDS. The robust and resilient models with PoE are ideal for demanding environments.
Pallet by pallet - Intelligent robotic vision system destacks up to 800 objects per hour
One of the locations where RODE adds value is for DHL eCommerce in Rotterdam. In this machine, two Ensenso 3D cameras from IDS Imaging Development Systems GmbH are implemented to provide the required image data.
The Core of Optimizing Robotic Performance: Sensors in Warehousing
Without any external input to guide its actions or decisions, a robot would behave like a machine, performing tasks without adaptation or autonomy. Serving as the critical link between the robot and its environment, sensors enable the robot to perceive and interpret.
Trained quickly, inspected swiftly - Handling and defect inspection of indexable inserts
The German medium-sized company has developed a fully automated handling and inspection system in which the DENKnet solution for AI-based image evaluation plays a decisive role and sets new standards in terms of performance, zero-defect production and speed.
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.
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