Over 85 percent defect detection accuracyUp to 70 percent less manual effort Real-time prediction in 0.5 seconds Next-Gen Welding Inspection Scores Big Identifying welding defects and assessing quality with image processing and machine learning Contact us Challenges Solutions Impact Noise, poor contrast, and inconsistent sizes reduced image quality. Extracting relevant features from weld images posed challenges. Detecting welding defects manually led to errors and delays. Classifying weld quality remained essential Noise, poor contrast, and inconsistent sizes reduced image quality. Extracting relevant features from weld images posed challenges. Detecting welding defects manually led to errors and delays. Classifying weld quality remained essential Noise, poor contrast, and inconsistent sizes reduced image quality. Extracting relevant features from weld images posed challenges. Detecting welding defects manually led to errors and delays. Classifying weld quality remained essential Tags: Artificial Intelligence Share: Facebook Twitter LinkedIn