I’ve been diving deep into how machine learning can enhance robotic process automation, particularly in quality control processes. Recently, I used TensorFlow to implement a vision system that improves defect detection significantly. I’m curious if anyone has explored similar applications or has resources to share on integrating ML with robotics effectively.
I’ve been working on something similar and found that using transfer learning with pre-trained models can really accelerate the development of your defect detection system. It saved me a ton of time and improved accuracy right off the bat. Have you tried looking into frameworks like OpenCV for integrating the vision system?
I’ve definitely felt the same frustration with defect detection in quality control. Using TensorFlow can be great, but I’ve found that integrating some simpler algorithms can sometimes yield faster results on a small scale. For instance, adding basic thresholding before diving deep into ML can save time.