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AI Similar Drawing Search for Faster Reuse Design for the Design Department

Even if you don't know the drawing number, you can go from the punch drawing to similar drawings. DR minutes and past trouble records will also come up together.

"I drew similar parts before, but I don't know the drawing number." "The person in charge who knew the background of the design change has transferred." Are you spending time searching for drawings for such reasons and not redrawing from scratch? ARCHAIVE is an AI that reads drawings as three-dimensional "objects." It analyzes shapes to identify features like holes, pockets, and bends, and searches for similar drawings with related meanings. Additionally, it automatically links specifications, DR meeting minutes, and defect reports to the same drawing using the part number as a key. You can even verify the basis for design decisions in the context of reused designs. 【Use Cases】 - Searching for similar drawings to serve as a base for reused or derived designs. - In conceptual design, referencing past successful shapes from hand-drawn sketches. - During design changes, confirming the differences and reasons for changes compared to the old version. - Before checking drawings or DR, reviewing past trouble reports and countermeasures for similar shapes. - Allowing younger designers to progress with their designs while considering the deliberations of veterans. 【Benefits of Implementation】 - Reducing the time spent searching for drawings from 30 minutes to 1-5 minutes. - Finding reusable drawings, which decreases duplicate drafting. - Reducing the oversight of past issues, thereby minimizing rework after drawings are issued. - Preventing design know-how from being concentrated in specific individuals. *The figures are based on actual measurements from the PoC. The effects may vary depending on the volume of drawing assets and operational structure.

Related Link - https://archaive.net/

basic information

【Features】 - AI Similar Drawing Search: Find similar drawings based on shape, dimensions, keywords, and even hand-drawn sketches. - Shape Analysis: Reads drawings as three-dimensional objects and searches based on features of shapes and processing methods, such as holes and pockets. - AI-OCR and Attribute Extraction: Reads drawing numbers, part numbers, materials, and dimensional tolerances from drawings. - Automatic Linking: Links specifications, DR meeting minutes, and defect reports to drawings using part numbers as keys. - Design Change Difference Detection: Highlights changes between versions. - Ease of Implementation: No need for folder organization or uniform naming conventions. Current files can be registered as they are. 【Our Strengths】 - Retains the basis for decisions: Connects drawings (what was made) with DR meeting minutes and past trouble reports (why it was decided that way). - Implementation Track Record: 26 companies, primarily in the industrial machinery and machine tool manufacturing sectors (as of October 2026). - Data Handling: Customer data will not be used for AI model training. - Supportive Implementation: Moves to full implementation after confirming effectiveness with sample data. ARCHAIVE is a service provided by STAR UP Co., Ltd.

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Manufacturing Industry AI Data Hub 'ARCHAIVE'

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AI Data Platform "ARCHAIVE"

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