▶ Data is collected according to the set cycle and time

▶ Text and CSV data files from equipment can be collected

▶ Registration data can be created in the equipment

▶ The collected data is parsed by the program and saved to the database

▶ Distributed processing methods can be applied to manufacturing data

▶ Statistical analysis: User-specific ML/DL model storage and evaluation

▶ ML/DL predictive models: Create statistical analyses and ML/DL models from user data

▶ Optimal clustering analysis: Recommends the number of clusters that best reflect similarities

▶ Clustering analysis results: Provide cluster tables and visualizations based on the optimal number of clusters

▶ Monitor overall production status across factories in South Korea, China, Mexico, and Serbia

▶ View production charts for daily, monthly, event-based, and cross-factory comparisons

▶ Register and print daily inspection sheets, and view the chart flow

▶ Download equipment data: Select the factory and process type for the specified date

▶ Monitor defect data and view the top defects by production line and manufacturing process