The system consists of several independent modules connected together to provide a robust solution for capturing, recording and viewing data related to the welding process:
AI application: The system generates a large amount of data which need to be interpreted to obtain value and meaning. To this end, machine learning techniques are applied to guarantee product quality and detect anomalies in data generated. The ultimate goals are to control the welding process and improve manufacturing quality.
The main aim is to digitalise the entire welding process. From process data capturing to data saving and displaying. This facilitates better process understanding and improvement by applying Artificial Intelligence techniques.
The main result of applying this asset to welding processes is improved welding quality based on process data recorded and reduced manufacturing times.