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  6. [Use Case of Image Recognition AI] Size Management of Objects as an Alternative to Multiple Sieves

[Use Case of Image Recognition AI] Size Management of Objects as an Alternative to Multiple Sieves

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last updated:Dec 10, 2021

アイ・ピー・エス ITエンジニアリング事業部
アイ・ピー・エス ITエンジニアリング事業部
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The first step towards automated operation using deep learning (deep learning) AI! Introduction of use cases.

Depending on the nature and size of the raw materials, fine adjustments may be necessary in the manufacturing process. I believe that these fine adjustments have relied on the "craftsman's intuition," but in today's world, where securing skilled personnel is difficult, let's visualize (data-ify) the "craftsman's intuition" and evolve it into a task that anyone can handle. By utilizing "image recognition AI," we can detect the size of raw materials falling at high speed and measure the distribution by size. By taking into account data (parameters) that are factors other than size, which determines quality, we can adjust the equipment, marking the first step towards automated operation using deep learning AI. Please feel free to contact us when needed. 【Use Case】 ■ Measuring the distribution of falling raw materials by size *For more details, please refer to the PDF document or feel free to contact us.

    Other image-related equipment
2021-12-08_09h48_26.png

[Use Case of Image Recognition AI] Size Management of Objects as an Alternative to Multiple Sieves

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2021-12-08_09h48_26.png
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[Use Case of Image Recognition AI] Size Management of Objects as an Alternative to Multiple Screens.

[Use Case of Image Recognition AI] Size Management of Objects as an Alternative to Multiple Screens.

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This document introduces examples of utilizing image recognition AI for automated operations using deep learning AI. By leveraging "image recognition AI," we can detect the sizes of raw materials falling at high speed and measure their distribution by size. Considering data (parameters) that are factors other than size, which determine quality, allows for adjustments to the equipment, marking a first step towards automated operations using deep learning AI. [Usage Example] ■ Measuring the distribution of raw materials by size as they fall You can find more details in related products and catalogs.

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アイ・ピー・エス

アイ・ピー・エス ITエンジニアリング事業部

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Under this concept, we aim to establish SAP, which has been considered for large enterprises, in medium-sized and small-to-medium enterprises, aspiring to become the market leader in this sector. We have been conducting market development with bold pricing strategies and significant marketing investments, building a strong trust relationship with SAP. As digital transformation accelerates, we are starting new initiatives aimed at becoming a pillar of new business! This is not just about "implementing SAP," but about transforming into a business that focuses on "utilization" and "effectiveness." After the completion of SAP implementation, we work together with our customers to create management and operational effects using SAP. This is a business that no one has tackled yet, and it represents our commitment to full-scale business consulting services. We are exploring new businesses by leveraging new technologies such as AI, IoT, and RPA. We are pursuing consulting services that utilize these new technologies in management and business activities. For example, we have begun challenges such as realizing smart factories, achieving zero accounting personnel, and conducting marketing analysis. We aim to establish IPS's unique domain and the ideal state for our customers! IPS supports the "manufacturing reform of fighting medium and small enterprises!"

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