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Inspection support software Product List

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VISOMETRY Corporation AR Visual Inspection Support Software Twyn

Software that assists in the appearance inspection of large and complex shapes, also automatically generates inspection reports.

Software that displays 3D CAD data of products on an iPad and overlays it with the actual object captured by a camera, allowing for comparison and discovery of discrepancies between the data and the physical item. Discovered discrepancies can be recorded in terms of location and condition through freehand drawing, and a photo report can be automatically generated. Key inspection points and areas that require special attention can be set in advance, and by displaying caution instructions on the screen, work time can be reduced. Until now, even visual inspections that required skilled labor can be performed with high accuracy with only minimal training. Typical applications: ✓ Large sheet metal parts ✓ Canned structures ✓ Large jigs - Used for inspections during processes, before shipment, and upon receipt. It helps to identify mistakes arising from forgotten part installations, processing omissions, positional differences, and mix-ups of drawing versions, thereby improving the accuracy of visual inspections and promoting labor-saving measures.

  • 2021-02_SVK_Costumer_Slavia Productions_Jig and Fixture.jpg
  • 2023-10_CSZ_Customer_Loko_IMG-4973.jpg
  • 2024-01_SVK_Customer_SlaviaProductions_DSCF0082.jpg
  • Image Processing Software
  • Inspection support software

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[Data Science Case] Stabilization of Quality and Analysis of Variability Factors Using AI

I want to connect it to improvements in manufacturing conditions! A case of developing a model to predict variations in inspection results.

We would like to introduce a case where AI enabled the stabilization of product quality and analysis of variation factors in the manufacturing industry. In the quality inspection tests for drive system products, there was a challenge to analyze the variation factors of the inspection results using the data obtained from the tests, with the aim of improving manufacturing conditions and other aspects. To address this, we developed a model to predict the variation in inspection results using measurement conditions from the quality inspection tests, design information of the manufactured products, and component dimensions as features. By analyzing the parameters of this model, we interpreted them as factors and linked them to improvements in manufacturing conditions. [Case Overview] ■ Industry: Manufacturing ■ Business: Quality Inspection ■ Challenges: Factor Analysis, Improvement of Inspection Efficiency, Production Efficiency ■ Analytics/AI Solution - Developed a model to predict the variation in inspection results *For more details, please refer to the PDF document or feel free to contact us.

  • Company:TDSE
  • Price:Other
  • Business Intelligence and Data Analysis
  • Inspection support software

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