To ensure the quality of products or workpieces, numerous inspection procedures are often required. The manpower involved and the potential for oversight in these processes can result in challenges to guarantee product quality. MiTAC Quality Prediction System, developed by Divine Data Science, addresses this by installing sensors at critical points on processing machines to capture vibration data during the production process. It records the behaviors of machine components that are not easily observable from external perspectives. Utilizing real-time AI algorithms for analysis and prediction, the system reduces the burden of personnel observation and measurement. Ultimately, it presents product quality levels or health through a concise visual interface, serving as an auxiliary tool for quality management. This approach helps avoid batch losses caused by the discovery of defects at later stages.
Features
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Measurement of Vibrations to Record Potential Machine Behaviors |
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Intelligent Establishment of Product Quality Relationships through AI Models |
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Automation of the Quality Management Process |
System Components
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Vibration Sensors
High-precision three-axis vibration measurement for accurate recording of machine behavior. -
Digital Measurement Devices
System integration of digital measuring instruments to achieve automation and digital transformation. -
Quality Prediction Visualization
Real-time presentation of quality prediction results through a graphical interface.
Product Achievements
TBI MOTION TECHNOLOGY CO., LTD