The TwinCAT Machine Learning Creator from Beckhoff is aimed at automation and process experts, and adds the automated creation of AI models to the TwinCAT 3 workflow. This allows users to handle the entire process, from data collection to the trained model, for themselves – without any AI expertise of their own. The finished model is optimally adapted to real-time requirements in the control environment in terms of latency and accuracy.
A prime application for the versatile TwinCAT Machine Learning Creator (TE3850) lies in AI-supported image processing for quality assurance. This, along with various other applications, taps into the ease and standardisation of creating AI models for automation through Beckhoff’s no-code development platform. It not only leverages open standards, interfaces, and best practices, but also provides the trained models in the open standard format ONNX. These latency-optimised AI models for control applications are specially adapted to run on Beckhoff IPCs and with TwinCAT products, although they can also be used as ONNX models beyond the Beckhoff product world.
With TwinCAT Machine Learning Creator offering fully automated AI model creation, the potential of artificial intelligence is now available to all – including smaller companies – offering a competitive edge and much-needed solutions for the growing shortage of specialist skills. And for seasoned AI experts, this solution serves to streamline their workload considerably, while also minimising the potential for errors. The ability to speed up project development processes offers yet another clear advantage, particularly as the development tool provides extensive and transparent methods for displaying the behaviour of the models created and comparing them with each other. Users can also benefit from automated report generation, which supports auditing processes for AI model creation. Another crucial aspect is that the required application-specific data remains protected since it does not leave the company.
Schneider Electric’s Five-Pillar Strategy takes the guesswork out of equip Schneider Electric South Africa
IT in Manufacturing
Schneider Electric’s Field Service Cycle, otherwise known as the Five-Pillar Strategy, is a structured approach to managing the lifecycle of equipment to prolong asset lifespan while reducing the total cost of ownership for customers.
Read more...Beckhoff’s XPlanar boosts productivity in medical device assembly Beckhoff Automation
Fieldbus & Industrial Networking
The intelligent transport system, XPlanar from Beckhoff provided the basis for an innovative system concept allowing the specialists at Automation NTH to reduce the space requirement of an assembly machine for medical diagnostic devices by a factor of 10.
Read more...Laying the groundwork in IT/OT
IT in Manufacturing
In the realm of manufacturing, the core mandate is to deliver value to stakeholders. For many in the industry, this is best achieved through a risk-averse approach. Only upon establishing a robust foundation should a business consider venturing into advanced optimisation or cutting-edge technological innovations such as industrial AI.
Read more...Looking into the future of machine vision Omron Electronics
IT in Manufacturing
Artificial intelligence (AI) is driving a significant transformation in all areas of industrial automation, and machine vision is no exception. Omron’s AI-powered machine vision systems seamlessly integrate state-of-the-art algorithms, enabling machines to analyse and interpret visual data meticulously.
Read more...Driving digital transformation in the truck industry Siemens South Africa
IT in Manufacturing
Tatra Trucks, a leading truck manufacturer in Czechia, has adopted the Siemens Xcelerator portfolio of industry software including Teamcenter software for product lifecycle management and the Mendix low code platform to help increase production volume and strengthen its ability to manufacture vehicles that meet specific customer requirements.
Read more...Opinion piece: Digital twins in manufacturing – design, optimise and expand Schneider Electric South Africa
IT in Manufacturing
Digital twin technology can help create better products, fast. It can also transform the work of product development. This strong statement from McKinsey reinforces how far digital twins have come in manufacturing.
Read more...Asset tracking is key to driving operational excellence and sustainable growth Schneider Electric South Africa
IT in Manufacturing
Asset tracking plays a critical role in the success of industrial businesses. By effectively managing and monitoring assets, companies can optimise their operations, ensuring that resources are used efficiently. This leads to improved productivity and reduced costs.
While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.
printer friendly version