Development of AI systems for predictive maintenance in casting processes

Services

Business Consulting

Custom Software

Industries

Automotive Industry

Artificial Intelligence

Custom Software

Period

October 2018 - March 2020

This project focused on the development of an advanced AI system for the automated detection and classification of hazards in X-ray facilities. A key component was image pre-processing, including cleaning, normalizing, and transforming raw data to reduce noise and provide an optimal basis for AI analysis.

Custom AI models were designed and implemented to meet the specific requirements of the screening systems. These models detect and classify potential hazards with high accuracy and reliability. In parallel, embedded hardware architectures were developed to ensure efficient integration and execution of the AI algorithms within the systems.

Credits

Lukas Famula

Technologies

C#
Python
Keras
NVIDIA SDK
TensorFLow
Linux Server
Docker
Git