Computer vision model deployment (internship project)
End-to-end deployment of a computer vision classification model during an applied AI internship.
Problem
A manufacturing use case required detecting defective screws using camera footage.
Approach
Trained and validated a classification model provided through Azure ML and deployed it to edge devices using Azure tooling and agents.
Validation
Evaluated the model using real footage from the production environment to verify correct behavior outside of static test data.
Outcome
A deployed model that demonstrated how computer vision could reduce manual quality assurance effort.