Eliminate the 'variability' in inspections and judgments at the work site! Achieve quality improvement and stabilization even with a labor shortage by utilizing the visual inspection system!
We provide an "Appearance Inspection Solution" to eliminate variability in inspections and judgments at factories and manufacturing sites. We offer comprehensive optimization by proposing solutions that integrate software, such as AI and control design around the inspection process, with hardware like robots, cameras, and lighting. By combining AI, image processing technology, and automated equipment, we can solve the following issues: 【Problems We Solve】 ■ Variability in accuracy depending on the inspector ■ Oversights that mistakenly classify non-conforming items as conforming ■ Limitations in inspection quality with visual inspections We can perform inspections involving pattern matching, appearance dimension measurement, deep learning, still images, and video (high-speed vision). Please feel free to contact us for inquiries. *Free consultations are currently available! *For more details, please refer to the related links or feel free to contact us.
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【Introduction Effects】 ■Reduction of labor costs ■Improvement and standardization of quality ■Elimination of dependency on individuals *For more details, please refer to the related links or feel free to contact us.
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【Case Studies】 ■Automation of inspection work using image recognition systems ■Optimization of waste incineration furnace (AI) *For more details, please refer to the related links or feel free to contact us.
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Our company supports the manufacturing sector, primarily focused on Japan's key industries such as automotive and electronics, with various technologies including machinery, electrical systems, and IT systems. As a technology partner in an era of accelerating technological innovation, we confront challenges together with our customers and propose new solutions.
![[AI Image Inspection Case] Incorrect Cable Insertion](https://image.mono.ipros.com/public/product/image/872/2001482747/IPROS9245137486569581455.png?w=280&h=280)
