Would you like to replace visual inspection with an AI and rule-based automatic inspection system?
In terms of visual inspection, there are challenges such as a shortage of inspectors, variability in quality, and the need for improved productivity. To address these challenges, we propose an automated inspection system. By training AI to learn the judgment criteria of visual inspectors, it can make assessments based on similar standards as humans. Additionally, using rule-based inspections allows for the automation of checks such as dimensional measurements, character recognition, and counting items. Both AI and rule-based systems maintain consistent judgment criteria even during prolonged inspections. Furthermore, they can perform inspections at a speed faster than humans, which can lead to increased productivity. At JTG, we listen to our customers' needs and provide proposals that include the optimal assessment methods. If you have challenges with visual inspection, please feel free to contact us.
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JTG Corporation solves the challenges of "visual inspection," which is a critical process for manufacturing customers. While visual inspection is still considered important, issues such as variations in quality among inspectors and the difficulty of securing inspectors due to declining birth rates are expected to become increasingly serious in the future. In response to these challenges, we at JTG propose solutions through automation. There are several processes involved in verifying the effectiveness of automation for visual inspection and considering it as equipment, but JTG offers a comprehensive proposal for these steps. We can provide tailored solutions based on customer needs, including verification of imaging for judgment, confirmation of the effectiveness of judgment software, and consideration of inspection mechanisms that compile these elements, as well as proposals for packaged general-purpose inspection equipment. Customers facing challenges in the visual inspection process are encouraged to contact us freely.