Model TrainingYour defect. Your images.Your model.
Some defects are specific to your product and need a custom inspection model. Train your own model offline, directly on the machine.
Train a model in five steps.
Add to the dataset
One click on any inspected region, or a whole product at once, puts the images into the dataset. Feedback from the review screen lands there too.
Label OK or NG
Label each image as OK or NG. The software tracks unlabelled images so you can pause and resume later.
Train
Name your model, start training and monitor its performance. Stop at any time and keep the best result so far.
Check the result
Evaluate the model on images not used for training. Review correct predictions, false calls and missed defects in a results table.
Set it as the default
Apply the model to selected inspection regions and set it as the default for the group. It runs alongside your existing inspection checks.
Watch: training a model, start to finish
Teach the model what matters on your boards.
Build on our visual foundation model to inspect niche defects specific to your products. Train with labelled images from your own production to extend its inspection capabilities.
This demo shows 40, 19 and 6 alerts across three inspections, with feedback and adjustments between runs. Counts shown are alerts, not confirmed defects.
Your data stays in your facilities.
No internet, no cloud, no account
Train locally on the machine, without an internet connection, cloud service or online account.
Your images stay local
Collect, label and train on your images locally. No image upload is required.
The model is your property
Your team trains the model on your production images. The model belongs to you and is not shared with other customers.
Train separately from production
Collect and label images, train on a separate machine, then transfer the finished model to your production machine.
Add to your existing inspections
Your custom model adds a check to selected inspection regions. Existing inspection checks continue to run.
Update or replace your model
Disable the model for a group, retrain it with more examples or replace it with a newer version.
Show us the defect you need to inspect.
Join an engineer for a 30-minute demo. Bring sample images, and we’ll walk you through labelling and model training.
If an existing inspection produces false calls, you may not need a separate custom model. Submit feedback and run AI Update to improve the existing model.