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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[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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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.