Learning
Pro Inspect Learning Process
How does it learn?
Machine Learning
The Pro Inspector learning process consists of 6 steps and allows for continuous improvement.
1.
Capture images
Collect images that contain the visual anomalies that you want to detect automatically.
2.
Create a training data set
Labeling images and storing them in the training dataset to train the AI model.
3.
Create a validation data set
Label the images and store them in the validation data set with which to validate the AI model.
4.
Train the model
Train the model with the training data set using the most advanced machine learning techniques.
5.
Validate the model
Validate model performance using a validation data set. Improve performance by fine-tuning data.
6.
Inspect with the new model
Download the new model to the smart module to start using it for processor inspection.
Build a new artificial intelligence model using the most advanced machine learning techniques for maximum efficiency.
Learning process in the cloud. In this way, new AI models can be refined without interrupting the inspection carried out by the intelligent module.
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