Industrial 3D Parts Classification
Competition project developed for AITEM: web interface that automatically classifies industrial 3D parts using machine learning techniques and computer vision.
Project Demonstration
Technologies Used
Machine LearningComputer Vision3D ProcessingWeb InterfacePythonDeep Learning
Key Features
- •Automatic classification of industrial 3D parts
- •Intuitive and responsive web interface
- •Real-time processing of 3D models
- •Advanced computer vision algorithms
Project Context
This project was developed as part of a competition organized by AITEM, demonstrating the practical application of artificial intelligence in industry.
The goal was to create a system capable of automatically classifying different types of industrial parts from their 3D models, thus optimizing quality control processes.
Industrial Impact
This solution contributes to the automation of industrial processes and improving efficiency in component classification.
Project Completed