Computer Vision, Machine Vision, Manufacturing, Robotics, Industrial Automation.
samples as possible. To do this, they use techniques like data augmentation, transfer learning, and active learning to build a robust dataset that they use to train an anomaly detection model. Their models are built easily with no coding. Once deployed, these models run real-time inference on the