ミラック光学 List of Products and Services

"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>.

"AI Hayabusa" is a product that overcomes the weaknesses of conventional image inspection tools, which have been challenged by the limited applicability of pattern matching, through artificial intelligence. It eliminates human errors and variations in judgment during visual inspections, achieving high precision and speed. It can also systematize advanced and empirical tasks such as description and inference of the target. An "AI Robot" equipped with this system has also been completed! It streamlines and enhances the appearance inspection of a wide range of products, from small parts like mobile phone cases to sizes like car doors. 【Features】 ■ Inspection using artificial intelligence and image processing ■ Supports online, offline, and device integration ■ Image processing systems for planar measurement, blob analysis/morphology, character recognition/verification, matching, and machine vision (shape identification) ■ Functions for 3D shape measurement, automatic classification, barcode reading, and more ■ Realizes many benefits, including a reduction in personnel to the level of skilled workers *For more details, please refer to the catalog. A "case study collection" is also available!

"AI Hayabusa" is a product that overcomes the weaknesses of traditional image inspection tools, which have been challenged by the limitations of pattern matching, through the use of artificial intelligence. In addition to various industries, it reduces the risk of human error in visual inspections in sectors such as food and pharmaceuticals, eliminates variability in judgment, and achieves high precision and speed. It can also systematize advanced and experiential tasks such as description and inference of the target. 【Features】 ■ Inspection using artificial intelligence and image processing ■ Compatible with online, offline, and embedded device applications ■ Image processing systems for flat measurements, blob analysis/morphology, character recognition/matching, and machine vision (shape identification) ■ Functions for 3D shape measurement, automatic classification, and barcode reading ■ Realizes many benefits, including a reduction in personnel to the level of skilled workers *For more details, please refer to the catalog. A "case study collection" is also available!

Pattern defect detection in semiconductor manufacturing often relies on visual inspections by skilled workers, leading to challenges such as quality variations due to labor shortages and discrepancies in inspector skills. "AI Hayabusa" is an inspection system that automates visual inspections using AI and image processing technology. It accommodates inspections of complex-shaped components, achieving stable inspection accuracy and labor savings. 【Usage Scenarios】 - Pattern defect detection in semiconductor manufacturing - Inspection of complex-shaped components - Detection of fine scratches and defects - Resolution of quality variations due to discrepancies in inspector skills 【Benefits of Implementation】 - Increased productivity: Automating inspection processes that relied on manual labor significantly reduces time. - Improved quality: Stable inspection accuracy through AI helps suppress the occurrence of defective products. - Cost reduction: Reduces labor costs and the time and costs associated with inspections. - Reduced burden on inspectors: Alleviates the burden of visual inspections by skilled workers, allowing them to focus on more advanced tasks.

The visual inspection of seafood processing products often relies heavily on human labor, which not only incurs time and costs but also presents challenges such as variations in quality due to inspector fatigue and inconsistencies in judgment criteria. Mirac Optical's "AI Hayabusa" is a system that automates visual inspection using AI (automatic learning capabilities) and image processing. It accurately detects minute defects such as scratches, achieving efficiency and stability in quality control. 【Application Scenarios】 - Visual inspection of seafood processing products (scratches, discoloration, foreign matter contamination, etc.) - Reducing the burden on inspectors and shortening inspection time - Improving inspection accuracy and stabilizing quality - Enhancing customer satisfaction 【Benefits of Implementation】 - Reduction in labor costs due to automation of inspection tasks - Decrease in the rate of defective products due to improved inspection accuracy - Increased productivity due to shortened inspection time - Enhanced efficiency in quality control through data digitization of inspection results

In the metal processing industry, a significant amount of time and effort is spent on the visual inspection of products. Finding minute defects such as scratches can be burdensome even for experienced inspectors, and human errors are likely to occur. Mirac Optical's "AI Hayabusa" is an inspection system that automates visual inspections by utilizing AI (automatic learning capabilities) and image processing technology. 【Application Scenarios】 - Appearance inspection of automotive parts: Detection of scratches and burrs on complex-shaped components - Wafer inspection in semiconductor manufacturing: Detection of fine scratches and defects 【Benefits of Implementation】 - Significant labor savings through reduced inspection time - Reduction of defective products due to improved inspection accuracy - Resolution of labor shortages - Cost reduction through increased efficiency in inspection operations

In food processing sites, the detection of foreign substances and defects often relies heavily on human labor, which tends to increase the burden of work. Additionally, issues such as oversights due to human error and variations in inspection standards are also challenges. "AI Hayabusa" is an inspection system that addresses these challenges by utilizing AI (automatic learning capabilities) and image processing technology. 【Usage Scenarios】 - Inspection for foreign substances in food processing factories - Visual inspection of food (scratches, discoloration, deformation, etc.) - Inspection of packaging conditions (damage, seal defects, etc.) - Inspection of food size and shape 【Benefits of Implementation】 - Reduction of inspection time and alleviation of labor shortages - Improvement of inspection accuracy and stabilization of quality - Strengthening of quality control through standardized inspection criteria - Enhancement of food safety

We introduce the inspection system "AI Hayabusa," which automates the inspection of complex-shaped products such as automotive parts using AI (self-learning capabilities) and image processing. Traditionally, inspection tasks were performed visually, relying on human effort, which led to issues such as operator fatigue, mistakes due to lack of concentration, and variability in judgment criteria. "AI Hayabusa" addresses these challenges, achieving stable quality control and improved productivity. 【Application Scenarios】 - Inspection of scratches on automotive parts: Difficult to detect complex shapes and fine scratches - Inspection of scratches on painted surfaces: Ensures detection of scratches that are often overlooked visually - Inspection of surface defects on metal parts: Accurately identifies scratches and irregularities, contributing to quality improvement 【Benefits of Implementation】 - Reduced inspection time: Automating inspection tasks that relied on human effort significantly shortens the time required - Improved inspection accuracy: AI image processing reliably detects scratches that may be missed by the human eye - Cost reduction in inspections: Significant cost savings are possible through reductions in labor costs and inspection time - Stabilization of quality: By eliminating human error, it provides products with stable quality.

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

Detecting pests and diseases in crops is a task that requires skilled techniques, time, and effort. There is always a risk of oversight and misjudgment. Mirac Optical's AI image inspection system automatically identifies pests and diseases using AI and image processing technology, achieving accurate and speedy detection. 【Application Scenarios】 - Early Detection of Pests and Diseases: By continuously monitoring the growth conditions of crops, early detection of pest and disease outbreaks can prevent the expansion of damage. - Efficiency in Pesticide Application: By accurately understanding the occurrence of pests and diseases, pesticides can be applied only where necessary, reducing unnecessary chemical use. - Improvement of Quality Control: Preventing quality deterioration due to pests and diseases allows for the production of stable quality crops. - Alleviation of Labor Shortages: Automating inspection tasks that relied on experienced personnel contributes to alleviating labor shortages. 【Effects of Implementation】 - Cost reduction through reduced monitoring time and labor costs - Prevention of damage expansion through early understanding of pest and disease occurrences - Improvement of working conditions and reduction of worker burden