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  6. [AI Implementation Case] Extraction from a Large Number of Captured Images

[AI Implementation Case] Extraction from a Large Number of Captured Images

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last updated:Nov 13, 2020

アラヤ
アラヤ
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Significantly reduced the selection time! We were able to greatly decrease the number of image points to be checked.

We would like to introduce a case where AI was implemented to extract suitable images that meet the criteria for media publication from a large number of images taken during sports matches. In the case of our client, they traditionally took a large number of photos during sports matches and manually extracted suitable images that met criteria such as "full body is visible" and "sports equipment is visible." However, this selection process was time-consuming, and there was a demand for quicker extraction. To solve this issue, we created a system where AI extracts images that meet the criteria from thousands of target images, significantly reducing the number of images that need to be reviewed. For inquiries about the implementation of AI for the efficiency and automation of image and video-related tasks, please feel free to consult with Araya. [Effects After AI Implementation] ■ Significant reduction in selection time ■ Almost no time required for extraction *For more details, please refer to the PDF document or feel free to contact us.

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2020-11-13_11h32_10.png

[AI Implementation Case] Extraction from a Large Number of Captured Images

2020-11-13_11h32_10.png
2020-11-13_11h32_10.png
  • Related Link - https://www.araya.org/project/imageselection/

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[Points of Consideration in AI Development] ■Combination of Extraction Conditions ■Selection of Suitable Algorithms *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 to improve the efficiency of tasks related to images and videos - If you are manually checking a large number of images and videos - If there are many conditions to be extracted, etc. *For more details, please refer to the PDF document or feel free to contact us.

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[AI Implementation Case] Extraction from a Large Number of Captured Images

[AI Implementation Case] Extraction from a Large Number of Captured Images

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Free trial available for rust detection AI tool! Araya's image recognition AI development solution 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 and our customers' operational challenges. For high-demand development projects specific to industries, 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 artificial intelligence, particularly machine learning algorithms that include deep learning, to provide a wide range of solutions that can meet the diverse needs of our customers. We offer AI/DX solutions tailored to the specific business operations of each company, so please feel free to contact us.

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