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Artificial Intelligence Inspection System "AI Hayabusa"

Automation of inspections for complex shapes such as automotive parts. It enables labor-saving in the production process. A document introducing various applications is provided.

"AI Hayabusa" is an inspection system that automates product inspection, which was previously done visually, using AI (automatic learning capabilities) and image processing. It enables speedy and stable judgments, capable of identifying fine scratches and other details. By increasing the amount of image data registered to the AI, it is possible to improve inspection accuracy. The system also accommodates inspections of complex-shaped parts and has a proven track record in various fields, including automotive parts, semiconductors, and food. [Features] - Cost reduction through labor-saving of visual inspections - Accurate NG detection by extracting feature quantities of the inspection target and comparing them with OK data - Contributes to improving yield rates by determining fine points that should be classified as good products - Improves quality variation caused by human error and differences in judgment criteria *We are currently providing materials that introduce ways to utilize this system in various fields such as manufacturing sites and food factories. The materials can be viewed immediately via <PDF download>.

  • Image analysis software
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AI Inspection System "AI Hayabusa" for the Textile Industry

Reduce the burden of visual inspection! AI instantly detects foreign substances, achieving quality improvement.

In the manufacturing process of textile products, the detection of foreign substances is an important quality control item. However, visual inspections rely on human effort, leading to issues such as errors due to worker fatigue and lack of concentration, as well as variations in inspection standards. Mirac Optical's artificial intelligence inspection system, 'AI Hayabusa,' utilizes AI and image processing technology to automatically detect foreign substances, achieving stable quality control and improved work efficiency. 【Usage Scenarios】 - Detection of foreign substances in the manufacturing process of textile products - Quality control of various textile products such as woven fabrics, knitted fabrics, and non-woven fabrics - Reduction of workload from visual inspections that rely on human effort - Elimination of quality variations due to discrepancies in inspection standards 【Benefits of Implementation】 - Reduction of inspection time and improvement of work efficiency - Decrease in defective products due to improved inspection accuracy - Cost reduction by addressing personnel shortages - Stabilization of quality through the unification of inspection standards

  • Image analysis software
  • Intelligence Testing System

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