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  6. Five points to consider when implementing edge AI.

Five points to consider when implementing edge AI.

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last updated:Apr 22, 2025

アラヤ
アラヤ
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Explaining points such as merits and demerits, trade-offs between speed and accuracy!

In recent years, "Edge AI," which implements AI models on edge devices used in the field, has gained attention, and the number of use cases is increasing. Our company has also seen an increase in inquiries from customers regarding consulting and implementation requests for Edge AI. Based on our practical experience in Edge AI development and implementation, this article is part of a two-part series that will convey the trends in Edge AI technology and the points to consider during implementation. When implementing Edge AI, there are actually both advantages and disadvantages. Therefore, the first point to consider is to examine both the advantages and disadvantages of implementing Edge AI, and to proceed with implementation on edge devices only when the advantages outweigh the disadvantages. *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.

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Five points to consider when implementing edge AI.

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  • Related Link - https://www.araya.org/projects/edge-ai-points/

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Construction DX/AI Solutions

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The realization of a "digital twin" where the real world and virtual space interact and collaborate. Alaya Inc. aims for an advanced future of construction where the real world and virtual space (simulators) are interconnected and integrated. The conditions at the construction site are reflected in the simulator, and automatic control instructions based on the analysis results from the simulator are fed back to the site, allowing heavy machinery and robots to operate automatically. This will enhance productivity, reduce labor, and improve safety, contributing to the construction industry.

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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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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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