Solving the risk of human error in manual work! Achieving a detection success rate close to 100%.
We would like to introduce a case study of the implementation of the "Eureka AI Vision System" at Sigma Optical, a manufacturer of optical equipment. In lens inspection, there is a need to accommodate various sizes and shapes, and manual inspection required an enormous amount of effort. A solution that achieves accurate defect detection while maintaining high cost-effectiveness was necessary. With the introduction of this system, deep learning was utilized to detect minute defects, improving inspection accuracy. It eliminated manual inspections and enabled faster lens inspections without compromising precision. 【Case Overview】 ■Challenges - Lens inspection requires accommodating various sizes and shapes. - Manual inspections carry a high risk of human error and require substantial effort. ■Results - Quality Improvement: Achieved a detection success rate close to 100%, ensuring high-quality lens products. - Cost Reduction: Eliminated manual inspections and improved operational efficiency, reducing labor costs. *For more details, please download the PDF or feel free to contact us.
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【Other Case Summary】 ■ Realization of Automated Inspection: By utilizing the Eureka AI Vision System, we have successfully automated the defect detection process, reducing human error and improving work efficiency. ■ Utilization of Deep Learning: Detecting minute defects and enhancing inspection accuracy. ■ Seamless Integration: The Eureka controller is seamlessly integrated into Sigma Koki's existing system, streamlining the inspection process. *For more details, please download the PDF or feel free to contact us.
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