Visual Inspection

Definition

Visual Inspection is a quality control method that examines product surface defects, color, shape, and foreign materials through human eyes or cameras. In manufacturing sites, it serves as a critical process to detect scratches, dents, contamination, and dimensional defects, preventing defective products from advancing to subsequent processes or shipment stages.

Application in Manufacturing

Traditional Methods

• Manual inspection by operators: Inspectors directly examine products and determine defects
• Sampling inspection: Extracting and inspecting samples from production lots
• Limitations: Inspection quality varies depending on inspector's skill level, fatigue, and subjective judgment

AI Vision Inspection Systems

• Deep learning-based automated inspection: AI models analyze images captured by cameras in real-time
• Anomaly Detection: Automatically detects even minute defects after learning normal products
• 100% inspection capability: Minimizes defect outflow and establishes objective quality standards
• Application cases: Semiconductor wafer inspection, automotive parts surface defect detection, food packaging foreign object inspection, display panel inspection

Key Points

Considerations for AI Implementation

• Securing good/defective data and labeling work required
• Standardization of imaging environment including lighting and camera resolution
• Process of reflecting existing operator know-how into AI learning is crucial