The Cognex Deep Learning software can detect defects on plastic injection moulded parts.  (Source: Cognex )
Quality Control

AI-based technologies help in quality control

AI-based technologies such as Machine Learning and Deep Learning are transforming the way manufacturers are looking to solve their quality control problems for their respective parts or moulds. In fact, the Deep Learning technology is gaining attention from across the industry due to its numerous advantages. Read on to know more…

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BBG integrates machine learning (ML) and artificial intelligence (AI) into production lines. (Source: BBG)
Artificial Intelligence

How self-learning automation makes your production more intelligent

At the Mindelheim-based company BBG, an end-to-end line for finishing glass with polyurethane (PUR) is being set up to demonstrate and test the results of a research project. The project “EKI — Engineering for AI-based Automation in Production Environments” is intended to pave the way for the intelligent adaptation of production systems to changing requirements and environmental conditions, for example in order to manufacture new variants of a product.

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Galleries

The all-electric e-motion combines high performance with very low energy consumption.  (Engel)
Plastpol

Intelligent processes for improved efficiency and sustainability

Digitalisation and sustainability hand in hand — at Plastpol 2022 from 24 to 27 May in Kielce, Poland, Engel is presenting smart exhibits in Hall F (Stands 3 and 4) to show how important the automation and digitalisation of injection moulding processes are — not only for productivity, but also for improved energy and resource efficiency.

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