AI Infra
Manufacturing AI Verification Environment Combining Ultra-Precision Coating Data and Vision Inspection | J&L Tech

However, existing development environments had clear limitations in repeatedly processing vast amounts of ultra-precision process data and vision inspection images. As the data scale increased, processing speeds slowed down, and there was a lack of dedicated analysis environments that practical departments could use directly.
J&L Tech adopted MonBox PRO to advance their plasma coating processes and automate quality inspection. They established a customized AI workstation that allows for the integrated development and verification of process data analysis and vision inspection algorithms.
■ Independent Testbed Dedicated to Practical Departments
Manufacturing process data is a core asset directly linked to product quality. Plasma coating and thin-film inspection data must also be handled securely within the R&D department rather than in external environments, and must be analyzed rapidly. MonBox PRO was utilized as an on-premise independent testbed, supporting practical departments to directly analyze and verify process data internally. Through this, dependency on external sources was reduced, and rapid AI functional verification tailored to field needs became possible.
■ Processing Process Data and Vision Inspection Images Together
In plasma coating quality verification, numerical process data and image-based inspection data are used together. Analyzing these two sets of data separately makes it difficult to comprehensively identify quality factors and can take longer to advance inspection automation functions. MonBox PRO provided a high-performance integrated system capable of simultaneously learning and verifying time-series process metrics and high-resolution vision inspection data. Through this, integrated development of data analysis and vision inspection became possible, and responsiveness for AI-based quality improvement was enhanced.
■ Plug & Play Environment to Start Analysis Immediately
To build an AI development environment, software configuration is as important as hardware performance. By pre-configuring essential open-source packages and AI execution environments in MonBox PRO, practical departments were able to commence analysis immediately without separate complex settings.
The key is reducing the burden of initial infrastructure setup while securing the computing power required for ultra-precision vision inspection algorithm development.
The J&L Tech case demonstrates how MonBox can be utilized in manufacturing quality verification environments.
MonBox supported plasma coating quality improvement by providing an AI verification foundation that analyzes process data and vision inspection images in a single environment, ready for immediate use by practical departments.

























