The classification function has significantly improved with the newly enhanced features.
Improvement of Quality and Production Volume SuaKIT's finely tuned deep learning model achieves inspection results with very high accuracy. The internal analytical processing of this deep learning algorithm enhances upstream quality, reducing overkill (excessive defect detection) and underkill (missed defects), thereby optimizing quality and yield. Cost Reduction By implementing an automated system, the frequency of unreliable manual inspections can be reduced. The ability to perform inspection tasks around the clock optimizes throughput and improves takt time to meet customer demand. SuaKIT's high detection rate also eliminates the need for additional expensive inspection hardware. Ensuring Reliable Verification Results SuaKIT's highly consistent inspections guarantee the same results across lines, shifts, and factories. The software archives images and documented results that can be verified and validated offline. This valuable data helps quality engineers optimize applications and understand abnormal results.
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basic information
Pixel Labels (Classification) Pixel labels can label defective parts within classified images, improving inspection accuracy. High inspection performance can be achieved even with insufficient image data. Network Options (Segmentation) The "Context Network" minimizes the rate of overkill (excessive defect detection), while the "Sensitive Network" minimizes the rate of underkill (missed defects). By selecting either of these networks, defect detection results can be optimized. Visual Debugger (Classification) This visual debugging feature visualizes which areas of the image the deep learning algorithm focused on for analysis. This allows users to verify whether the inspection was conducted according to their intentions.
Price range
Delivery Time
P4
Applications/Examples of results
Automotive parts inspection, food foreign matter contamination inspection, solar panel inspection, IC tray inspection, wafer inspection, ingot inspection, and more.
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Company information
Ryowa Co., Ltd. is engaged in the design, manufacturing, and sales of appearance inspection equipment. We respond to our customers' diverse needs with a rich array of applications. We cover a wide range of functions required for image processing, including pattern matching, appearance inspection, and code reading. Since six years ago, we have introduced AI-based appearance inspection, successfully delivering many projects that were deemed impossible with rule-based systems, and we are recognized as the last bastion of appearance inspection. We offer free tasting evaluations for AI, so please feel free to contact us. Additionally, we also provide repair, maintenance, and modification of hydraulic equipment, as well as construction, renovation, and alteration of hydraulic piping, and design and modification of hydraulic units.