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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… ....

Christian Eckstein , Tec Halcon , Zeis Surfmax , Ruben Ferraz , Vogel Communications Group Gmbh Co , Standard Quality Control Solutions , Vogel Communications Group , Mv Tec Software , Quality Control , Machine Learning , Deep Learning , Artificial Intelligence , Deep Learning , Quality Control Factor , Product Manager Deep Learning Tool , Global Context Anomaly Detection , Vision Sales Product Lead , Vogel Communications Group Gmbh , Cognex Deep Learning , Edge Learning , Classical Vision Tools , Laser Powder Bed Fusion , Rosetta Protocol , Standard Quality Control , Tensor Processing Unit , Anomaly Detection ,

MV Tec expands deep-learning-based anomaly detection in Halcon 22.05

Innovative anomaly detection extends the deep learning product range of MV Tec Software: The company will release the new version (22.05) of its Halcon machine vision software on May 25, 2022. The highlight is the new technology “Global Context Anomaly Detection”, which is available in Halcon 22.05 in this form as a world`s first. ....

Tec Halcon , Mario Bohnacker , Mv Tec Software , Machine Vision , Context Anomaly , Technical Product Manager , Global Context Anomaly Detection ,

Machine vision: MVTec sets new standards with expanded deep-learning-based anomaly detection in HALCON 22.05

• Innovative anomaly detection extends the deep learning product range
• Useful new features, particularly for quality assurance
• HALCON 22.05 to be released on May 25, 2022
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