Machine vision-based object detection strategy for weld area

HIGHLIGHTS

• who: Chenhua Liu et al. from the School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China have published the paper: Machine Vision-Based Object Detection Strategy for Weld Area, in the Journal: Scientific Programming of 11/04/2022
• what: The study shows that the VGG16 model is the best in weld seam area recognition with 91.68% average accuracy and 25.02 ms average detection time in the validation set which can effectively identify weld seam areas in various industrial environments and provide location information for subsequent automatic grinding of robotic arms. To . . .
  

   

  

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