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SDK Develops AI-Based Image Analysis System to Improve Spherical Alumina Production

TOKYO, Feb 12, 2020 - (JCN Newswire) - Showa Denko (SDK; TSE:4004) has developed an artificial intelligence-based image analysis system for spherical alumina production in cooperation with BLUE TAG. SDK will start using the system at its production line in April this year.

SDK Develops AI-Based Image Analysis System to Improve Spherical Alumina Production

A picture under the image-analysis system

Spherical alumina is produced from molten material, using surface tension. The product is in the form of particles with diameters ranging from several microns to 70 um. Due to high fluidity and compatibility, it is used as filler for heatsinks for electronic components and as abrasive. In the production process, operators visually inspect the product using optical microscopes to see if there is a defect in sphericity. Production conditions are adjusted through feedback of the inspection information to the preceding process. As there are many types of defective shapes, operators make a judgement on particle conditions based on their own experience. Furthermore, it is difficult to quantitatively grasp particle conditions, resulting in difficulty in using relevant information for the purpose of productivity improvement and quality stabilization.

SDK has therefore developed the AI-based image analysis system to visualize experience-based knowledge of skilled operators. This was not possible under the conventional image-analysis software. The new system is also aimed at ensuring quick feedback of digitalized data to the production process to stabilize product quality. To use examples of skilled operators' judgement as training data, SDK utilized BLUE TAG's high technology of micro-level-image processing.

As a result of initial tests, we confirmed the system's ability to make a judgment at the same level as that of skilled operators in about 20 seconds. This system also enables accumulation of data for relearning processes. Thus, inspection accuracy under the system can be improved based on operation results at the production line. SDK's spherical alumina product has the advantage of uniformity in sphericity and stability in product quality. Fully utilizing the new AI-based image analysis system, we will work to further improve product quality and productivity.

The Showa Denko Group is promoting AI and IoT technologies under its medium-term business plan "The TOP 2021." SDK will continue utilizing these technologies at production sites to visualize and quantify technology and experience-based knowledge possessed by experts, thereby ensuring safe and stable operation and strengthening competitive power.

Outline of BLUE TAG2-12-18, Uyeno, Taito-ku, TokyoIncorporated: May 16, 2018Representative Director: Jun-ichi ShibuyaScope of business: Development of AI technology and image-processing solutions (TAG STREAM), Development of AI technology and image-processing product to meet the needs of individual companies, Data analysis, construction of deduction models, and consultingURL: https://www.btag.jp/

About Showa Denko K.K.

Showa Denko K.K. (SDK; TSE:4004, ADR:SHWDY), a major manufacturer of chemical products, serves a wide range of fields from heavy industry to electronics and computer industries. The Petrochemicals Sector provides cracker products such as ethylene and propylene, the Chemicals Sector provides industrial, high-performance and high-purity gases and chemicals for semicon and other industries, and the Inorganics Sector provides ceramic products, such as alumina, abrasives, refractory and graphite electrodes and fine carbon products. The Aluminum Sector provides aluminum materials and high-value-added fabricated aluminum, the Electronics Sector provides HD media, compound semiconductors such as ultra high-bright LEDs and rare earth magnetic alloys, and the Advanced Battery Materials Department (ABM) provides lithium-ion battery components. For more information, please visit www.sdk.co.jp/english/.

Contact:Showa Denko K.K., Public Relations Office, Tel: 81-3-5470-3235

Copyright 2020 JCN Newswire. All rights reserved. www.jcnnewswire.com

Authors: ACN Newswire - Press Releases

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