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  6. [AI Implementation Case] Quality Inspection of Raw Materials in Consumables Manufacturing

[AI Implementation Case] Quality Inspection of Raw Materials in Consumables Manufacturing

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last updated:Nov 13, 2020

アラヤ
アラヤ
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With the introduction of AI, we are moving towards automated inspection with high quality! A case that can handle multiple types of raw materials and foreign substances.

We would like to introduce a case where AI was implemented for quality inspection of raw materials in consumable manufacturing. In the company that requested our services, inspectors previously needed to visually detect fine foreign substances that occasionally mixed in with the raw materials (plants) flowing through the manufacturing line. This visual detection by inspectors was challenging, and existing inspection equipment could not handle it, as conditions varied from factory to factory and line to line. To solve this issue, we installed fixed cameras on the manufacturing line and implemented an AI algorithm to determine good and defective products, achieving high-quality, automated inspection. Additionally, we introduced a total system that allows the customer to implement solutions for multiple factories and lines on their own. For inquiries about the introduction of AI for visual inspection of products and raw materials on manufacturing lines, please feel free to consult with Araya. [Effects After AI Implementation] ■ Automation of foreign substance detection ■ Support for multiple types of raw materials and foreign substances ■ Customers can independently manage different conditions in other factories/lines *For more details, please refer to the PDF document or feel free to contact us.

    Other inspection equipment and devicesOther image-related equipmentOther information systems
2020-11-13_11h29_13.png

[AI Implementation Case] Quality Inspection of Raw Materials in Consumables Manufacturing

2020-11-13_11h29_13.png
2020-11-13_11h29_13.png
  • Related Link - https://www.araya.org/project/inspection2/

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【Points of Innovation in AI Development】 ■ Achieved gradual improvement in accuracy ■ Implemented measures to reduce false detection rates ■ Introduced systems considering customer operations *For more details, please refer to the PDF document or feel free to contact us.

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【Purpose】 ■For those considering the introduction of AI for visual inspection on manufacturing lines - If existing inspection machines cannot be automated or unmanned and manual work is being performed - If you want to implement a system that fits the operational processes on-site - If there are multiple objects or lines to be inspected, or if inspection methods change, and you want to be able to adapt to changes yourself, etc. *For more details, please refer to the PDF materials or feel free to contact us.

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[AI Implementation Case] Quality Inspection of Raw Materials in Consumables Manufacturing

[AI Implementation Case] Quality Inspection of Raw Materials in Consumables Manufacturing

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Free image diagnosis now available! Araya's image recognition AI development service for the manufacturing industry.

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Araya utilizes image recognition technology through deep learning to achieve "AI implementation that can truly be used in business," tailored to the industry's and customers' operational challenges. For high-demand development projects by industry, we can leverage templates (pre-trained models) as "semi-custom AI," enabling relatively quick AI development. Additionally, we also build AI models from scratch as "fully custom AI." We are currently accepting free image diagnostics. Please feel free to contact us.

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アラヤ

アラヤ

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Our company utilizes machine learning algorithms, particularly deep learning, to provide a wide range of services that can meet the diverse needs of our customers. Additionally, we are conducting research and development with an eye toward a future where robots possess "artificial consciousness" and begin to engage in advanced interactions with humans.

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