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AI Devices In Industrial Manufacturing To Reach 15.4mln By 2024

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In recent years, Artificial Intelligence (AI) has been touted as a powerful technology that will revolutionise the industrial manufacturing space. The sentiment has its validity, but the reality is extremely complex.

AI in industrial manufacturing is a collection of various use cases at different phases of manufacturing, such as generative design in product development, production forecasting in inventory management, and machine vision, defect inspection, production optimisation, and predictive maintenance in the production phase. ABI Research, a global tech market advisory firm, forecasts that the total installed base of AI-enabled devices in industrial manufacturing will reach 15.4 million in 2024, with a CAGR of 64.8% from 2019 to 2024.

“AI in industrial manufacturing is a story of edge implementation,” says Lian Jye Su, Principal Analyst at ABI Research. “Since manufacturers are not comfortable having their data transferred to a public cloud, nearly all industrial AI training and inference workloads happen at the edge, namely on device, gateways and on-premise servers.” To facilitate this, AI chipset manufacturers and server vendors have designed AI-enabled servers specifically for industrial manufacturing. More and more industrial infrastructure is equipped with AI software or dedicated AI chipsets to perform AI inference.

Despite these solutions and the wealth of data in the manufacturing environment, the implementation of AI in industrial manufacturing has not been as seamless as was expected by the industry. Among all the use cases, predictive maintenance and equipment monitoring have been the most commercially implemented so far, due to the maturity of associated AI models. The total installed base for these two use cases alone is expected to reach 9.8 million and 6.7 million, respectively, by 2024. It is important to note that many of these AI-enabled industrial devices support multiple use cases on the same device due to advancements in AI chipsets. Key startups such as Uptake, SparkCognition, FogHorn and Falkonry are introducing cloud- and edge-based solutions that monitor the overall performance of industrial manufacturing assets and process flows.

Another commercial use case currently gaining momentum is defect inspection. The total installed base for this use case is expected to grow from 300,000 in 2019 to over 3.7 million by 2024. This is a use case that is extremely popular in electronic and semiconductor manufacturing, where major manufacturers, such as Samsung, LG and Foxconn, have been partnering with AI chipset vendors and software providers, such as CEVA, Gyrfalcon Technology, Lattice Semiconductor, Instrumental, Landing AI, and Neurala, to develop AI-based machine vision to perform surface, leak and component-level defect detection, microparticle detection, geometric measurement, and classification.

Conventional machine vision technology remains popular in the manufacturing factory, due to its proven repeatability, reliability, and stability. However, the emergence of deep learning technologies opens the possibility of expanded capabilities and flexibility. These algorithms can pick up unexpected product abnormalities or defects, go beyond existing issues and uncover valuable new insights for manufacturers.

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Belt and Belt Drives

Interroll receives major order in the US

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Interroll reports a large order received from a leading e-commerce platform in North America. The order includes the supply of vertical crossbelt sorter systems for 12 locations and amounts to a double-digit million US dollar volume.
The sorter systems will be installed at both new and existing end user facilities throughout the United States.

Increased consumer demand via e-commerce combined with the rising urgent need to comply with social distancing requirements during the COVID-19 outbreak created the need to expand the customer’s existing distribution infrastructure rapidly. Interroll’s simplified mechanical crossbelt platform sorter design enabled the end user and system integrators involved to plan with a six-month lead time. Interroll received orders for 12 sites with one system per site, amounting in total to a double-digit million US dollar volume.

“The Interroll vertical crossbelt sorter has been selected for its exceptional performance and proven success with large-scale projects in the American courier, express, and parcel market,” says Richard Keely, Executive Vice President Americas and member of the Interroll Group Management. “Moreover, the small footprint, throughput of 8,000 per hour through each single induction, as well as handling a wide variety of items have been decisive factors in being awarded this great opportunity.”

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Industrial Hardware and Machine Parts

Innovative Push Pull Standard for M12 connectors – across manufacturers Milestone for automation technology

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Eight well-known manufacturers established on the market for M12 connectors ­Phoenix Contact, HARTING, Molex, Murrelektronik, Binder, CONEC, ESCHA and Weidmüller – have come together to establish a standard for the push-pull locking mechanism of M12 connectors on the market. Together, we are pursuing the one goal of ensuring compatibility across manufacturers.

This joint approach resulted in the IEC 61076-2-010; a standard that describes both external and internal locking by utilizing push-pull locking.

Whether locked internally or externally, with the new standardized PushPull locking system, M12 round connectors can now be quickly connected across markets.

The vote on the CDV was approved with an outstanding 92.9% in favor. This indicates that a final form of the IEC mentioned can be expected in December 2020. With this standard, a milestone for automation technology has been achieved – both the saving of installation time and thus costs as well as a safe, robust and widely available locking system can be realized.

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Industrial Hardware and Machine Parts

HARTING T1 Industrial SPE Interface takes the German Innovation Award 2020

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The HARTING T1 Industrial Interface for Single Pair Ethernet (SPE) has been awarded the German Innovation Award 2020, marking the second consecutive year that HARTING has won the coveted award. After the German Innovation Award 2019 went to the HARTING ix Industrial interface for miniaturized Ethernet solutions, HARTING T1 Industrial has now emerged as this year’s winner.

For the team that committed a lot of dedicated work to the introduction of the Single Pair Ethernet interface as a standard mating face according to IEC 63171-6, the award is both a sound confirmation of their efforts and powerful motivation for future projects. In introducing the new solution for single pair Ethernet, the focus was clearly on not only developing a product, but ultimately on successfully integrating the entire concept and product successful into international standardization and establish it on the markets.

“Fielding the T1 Industrial interface, we are bringing SPE technology a major step closer to customers. The award is a clear incentive to continue to drive this development forward, to expand the solution portfolio and to continue to develop new, customized IIoT solutions for our customers in the future,” as Ralf Klein, Managing Director of HARTING Electronics emphasized.

The HARTING Technology Group recognized the potentials of SPE at an early stage and developed an optimal infrastructure solution for all users relying on I4.0 and IIoT. In order to establish a uniform standard for industry with SPE, HARTING played an active, pioneering role in the development of standards and has standardized the interface according to IEC 63171-6, as well as having this standard referenced in the international cabling standards ISO/IEC 11801 and TIA TR 42.7. For 75 years, innovation has featured as the core business of the Technology Group – and the German Innovation Award impressively underlines this fact once again.

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