Industrial 3D Parts Classification
Competition project developed for AITEM: a web interface that automatically classifies industrial 3D parts using machine learning and computer vision.
Demonstration
Technologies
Machine Learning · Computer Vision · 3D Processing · Web Interface · Python · Deep Learning
Notes
The project explored how 3D industrial parts can be classified from model data through an accessible web interface.
The main focus was the bridge between model performance and a usable workflow for industrial inspection or quality-control scenarios.