This study introduces a deep learning engine designed for the non-destructive automatic detection of defects within weld beads. A 1D waveform ultrasound signal was collected using an A-scan pulser receiver to gather defect signals from inside the weld bead. We established 5. 108 training datasets and 500 test datasets for five pass/fail labels in this study. https://www.roneverhart.com/Viking-G5-Swing-Gate-Opener/