Artificial intelligence for anomaly recognition represents a revolutionary breakthrough in the manufacturing sector, ensuring unprecedented precision in identifying potential defects or variations in components, optimizing operational efficiency, and enhancing the quality of the production process.
The project “Opificio Digitale – Smart Manufacturing Ecosystem,” conceived by Wärtsilä Italia, an integral part of the Finnish company Wärtsilä Corporation, a leader in energy generation solutions designed for the complete life cycle of marine and land plants, has achieved a significant milestone with the completion of realization goal 6, known as “Alvaro.” This project is an example of how artificial intelligence for anomaly recognition can be applied to a real case of the production process within a manufacturing company.
In this context, Eye-Tech has prominently established itself as a technological partner, playing a crucial role in the development of an innovative prototype dedicated to the recognition of anomalies on specific mechanical components, using the 3D model of the component in various formats (e.g., step, stl. fbx, etc.) as a starting point.
Eye-Tech played a fundamental role in the development phase, bringing advanced expertise in computer vision and neural networks. The ability to process video streams captured through cutting-edge devices, such as Hololens 2, enabled overcoming complex challenges related to precise object recognition in dynamic and complex scenarios.
The implementation of this prototype opens the doors to a wide range of applications in the manufacturing sector. From recognizing complex machinery to verifying mechanical components, the technology developed in collaboration with Eye-Tech promises to improve operational efficiency and reduce the margin of error in production phases.
The “Opificio Digitale – Smart Manufacturing Ecosystem” project has taken a significant step forward with the achievement of realization goal 6, “Alvaro.” Eye-Tech, with its commitment and expertise, has demonstrated the revolutionary potential of integrating artificial intelligence, computer vision, and cutting-edge technologies like Augmented Reality.
This pioneering project marks the path toward a transformed industrial production, with virtual assemblies of 3D models overlaid on real objects, redefining the concept of intelligent manufacturing.
Below is an example of a laboratory test to evaluate the capabilities of the algorithms developed for recognizing the reproduction of a specific 3D-printed mechanical component:
