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

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 publication in the media from a large number of images taken during sports events. In the case of our client, they traditionally took a large number of photos during sports events and manually extracted suitable images that met criteria such as "full body is visible" and "sports equipment is included." 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.

• Company：アラヤ
• Price：Other

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