Automatically detect product defects with image recognition, improving the speed and consistency of quality control!
We would like to introduce a case study of the development of a "Manufacturing Quality Control System" at our company. During the development, we faced challenges such as improving the precision of image processing to address minute defects on product surfaces and varying reflection conditions. In response to these challenges, we established a system utilizing high-resolution cameras, specialized lighting, models leveraging transfer learning, and a real-time alert mechanism. 【Technical Challenges】 ■ Improving the precision of image processing to address minute defects on product surfaces and varying reflection conditions ■ Ensuring adaptability to different products and lines ■ Immediate feedback and alerting during defect detection *For more details, please download the PDF or feel free to contact us.
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basic information
【Main Achievements】 ■ Defect detection rate: Approximately 20% improvement ■ Inspection speed: Twice as fast compared to manual ■ Consistency of inspection: Reduction of human error ■ Waste cost: 15% reduction *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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Company information
Our company acts based on a sense of "mission" as "IT professionals," focusing on the "thoughts" of each individual customer to lead them to success. We contribute to stable energy supply through energy solutions utilizing AI and IoT. Additionally, we provide services globally across our entire company group, including overseas locations. Please feel free to contact us if you have any requests.
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