Visual inspection is key in Industrial manufacturing.
The First step inorder to automate visual inspection is to collect data from sensors, camera in the manufacturing process.
Data collected from sensors is analyzed and deep learning algorithms are picked to test the hypothesis and come to conclusion on what can be done.
Once a clear project scope is defined, data cleaning and modeling takes place, the models are tested in real time scenarios. The models are then optimized and scaled to deploy in production.
Deploy in Production
Production Deployment are analyzed and then optimized to increase the accuracy of the model. In production environment the application and workflow can be further enhanced to suit customer needs.