Currently, industry news is utterly humming with stimulating updates on machine vision developments from across the globe.
QA is a crucial step in every manufacturing process, regardless of industry size or sector. However, manual QA is not fit for the strict standards of Industry 4.0, since human inspectors may miss defects, especially when inspecting highly complex electrical items.
The popularity of machine vision for quality assurance (QA) is increasing, but conventional systems lack the flexibility that most manufacturers need.
With a system that uses both 2D and 3D cameras from IDS Imaging Development Systems GmbH, the young entrepreneurs are automating one of the last remaining manual steps in large-scale industrial laundries, the unfolding process.
Our newest hands-on guidebook describes how you can optimize the benefits of Time of Flight by considering various factors such as the environment of the application and the target object properties in the scene.
Learn How To Protect Your Business with AI for Visual Inspection - Pleora Webinar Live April 6, 2022
This webinar will discuss how two manufacturers - a distillery and an electronics assembly operation - are using camera-based visual inspection to protect their brand and make manual processes repeatable, consistent, and traceable.
Pallets loaded with industrial yarn spools are picked up from the floor of a predefined storage place and transported to the creel location. There, the gripper positions itself vertically above the pallet.
In practice, the technology allows robots to interpret and respond to visual information relevant to their surroundings in near-real-time. The technology is essential for various modern manufacturing and warehousing automation applications.
The lettuce's outer, or 'wrapper', leaves will be mechanically removed to expose the stem. Machine vision and artificial intelligence are then used to identify a precise cut point on the stem to neatly separate the head of lettuce.
"The German Brush Company" has implemented an image processing system from the Bavarian system house Simon IBV GmbH that uses robust IDS industrial cameras and SIMAVIS® H image processing software to detect even barely perceptible tolerance deviations particularly reliably.
Anyone who has ever tried out a fairground grab machine can confirm it: Manual control of grab arms is anything but trivial. As harmless as it is to fail when trying to grab a stuffed bunny, failed attempts can be as dramatic when handling radioactive waste.
The goal: fully automated small parts picking. The main driver here is the labor shortage, the big challenge not a technical component like the robot or the gripper, but the design of an overall economic process.
Matrox AltiZ high-fidelity 3D profile sensor powers TUNASCAN vision system, sorting up to 20 tons of tuna per hour with accuracy rates approaching 100%
Advancements in machine vision drive industrial automation and push the boundaries of what is feasible. Yet one limitation of machine vision could long not be overcome, which seriously restrained the range of tasks that could be automated. This changes now.
Evolution in the Press Shop - Intelligent, Camera-based Tool Protection in Stamping and Forming Technology
Boosting efficiency through digitalization - almost no branch of industry can evade it. Also operators of press shops are increasingly networking their production. But - it's not always necessary to replace the entire plant in order to stay up to date.
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Pleora's Visual Inspection System helps operators detect errors and defects for unique component types, assembly steps, and custom low-run products where automated optical inspection (AOI) is too complex and expensive. The system helps DICA Electronics: Avoid costly, errors as a result of detecting errors at different phases in production, Speed time in detecting the root cause of the in-field errors with Tracking & Reporting apps for traceability, Maintain consistency in training new employees on requirements or with staff any time a new product is added, Easily train the system using 'good product' images for multiple product lines with no programming skills required, Reduce subjective decision-making, especially over a long shift, reducing error-escapes.