M2L Studio is a web-based vision system that makes it possible for the operators in a factory to configure and maintain a visual quality inspection camera or a sorting machine without any need for assistance from technicians.

You can install M2L Studio on a cloud infrastructure of your choice or use MLPIOT to bring the application to the factory site and keep your data and the life-cycle of training and deploying the vision application secure inside your infrastructure.

M2L Studio covers these tasks:

  • Image collection, using the capture feature
  • Annotation (classification, and segmentation)
  • Imageset versioning
  • Training the generic model included in the application
  • Inference, using the trained model
M2L Studio on HMI

Annotation Tutorial   Object Detection Tutorial   Classification Tutorial