簡介 Introductions
目前金屬工件生產線的品質檢測仍依賴人工進行尺寸誤差量測和表面瑕疵檢查，傳統的2D AOI檢測解決方案僅能單一角度拍攝，無法全面捕捉3D工件的所有特徵。我们的AI智慧工件品質檢測系統 結合高擬真虛實融合平台和生成式AI技術，革命性地提升工件品質檢測的效率和準確度。
Currently, quality inspection in metal artifact production lines still relies on manual measurement of dimensional errors and surface defect checks. Traditional 2D AOI (Automated Optical Inspection) solutions can only capture from a single angle, failing to comprehensively detect all characteristics of 3D artifacts. Our AI-Powered Smart Artifact Quality Inspection System, combining a highly realistic virtual-augmented reality platform with Generative AI technology, revolutionizes the efficiency and accuracy of artifact quality inspection.
特色與創新 Characters and Innovations
- 虛實融合檢測: 利用虛擬環境模擬檢測流程，減少實體教點和測試時間。
- 生成式AI檢測模型: 自動學習識別工件表面瑕疵，無人工標籤需求。
- 全角度工件擷取: 通过機器手臂和多視覺模組，實現360度工件檢測。
- 智能拍攝姿態優化: AI自動優化拍攝角度，確保檢測準確性。
- Virtual-Augmented Reality Inspection: Utilizes virtual environments to simulate inspection processes, reducing physical teaching points and testing time.
- Generative AI Inspection Model: Automatically learns to identify artifact surface defects without requiring manual labeling.
- Omnidirectional Artifact Capture: Achieves 360-degree artifact inspection through robotic arms and multi-vision modules.
- Intelligent Shooting Pose Optimization: AI automatically optimizes shooting angles to ensure detection accuracy.
應用與效益 Applications and Benefits
台中智慧製造技術驗證場域進行技術驗證：人工檢測工時降低，由原來的5分鐘降至約3分鐘，效率提升40%。本技術可應用於金屬加工、汽車零件、航空零件等多個產業。
Technical validation conducted at the Technology Verification Site of Intelligent Manufacturing : Manual inspection labor time is reduced from the original 5 minutes to approximately 3 minutes, achieving a 40% efficiency boost. This technology can be applied across multiple industries, including metal processing, automotive components, and aerospace components.