An intelligent quality inspection solution that detects product defects precisely and quickly with AI vision technology,
improving quality reliability and production efficiency
Quality management on the manufacturing floor is a key factor that determines product reliability and customer satisfaction. Conventional visual inspection and rule-based inspection can be limited in keeping inspection criteria consistent and handling a wide variety of defect types.
AI-based quality inspection uses deep learning-based vision technology to precisely inspect a range of quality items such as appearance, dimensions, and shape, and automatically classifies defect types, improving quality reliability and production efficiency at the same time.
AI vision inspection solutions optimized for diverse manufacturing environments
support accurate defect detection and real-time quality management.
Automatically inspects a range of quality items such as appearance, shape, and dimensions using high-resolution industrial cameras and AI technology.
Precisely detects and classifies a variety of defect types such as scratches, dents, contamination, and assembly defects with AI models.
Collects and visualizes inspection results in real time so you can check quality status on the shop floor immediately.
Stores and analyzes inspection images and judgment results to support quality history management and continuous AI model performance improvement.
Precise product detection and judgment based on high-resolution images
Automatic detection and classification of diverse defect types with deep learning models
Collects and visualizes production line inspection results in real time to monitor quality status
Systematic management of quality data such as inspection images, judgment results, and defect types
Builds an automated quality inspection process linked with production systems such as MES and PLCs
Identifies root causes of defects through quality data analysis and continuously improves AI model performance
With AI vision technology, we provide an integrated quality management process that runs from inspection to analysis and improvement.
Automatically captures product images with high-resolution cameras
Detects defects and classifies their types with deep learning models
Stores inspection results and monitors quality status in real time
Analyzes quality data and improves AI model performance
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