About this document
Deep Learning for Visual Inspection Defects by yordanosie zerabruk is a document available to read on EtoBox.
The document discusses deploying and improving visual inspection systems using deep learning models. It describes: 1) Key considerations for software (e.g. data storage solutions) and hardware (e.g. cameras, CPUs/GPUs) system architectures when deploying a visual inspection model. 2) How deep learning models can be improved after deployment through iterative data gathering, model retraining, and increasing data amounts during operation to create a "smarter" inspection model that learns over time.
- Author
- yordanosie zerabruk
- Language
- EN