AICube
Artificial intelligence for industrial inspection
Introduction
AICube - Artificial intelligence for industrial inspection
AICube is a portfolio of projects led by Euresys and MachineSight, aimed at enhancing industrial visual inspection through AI and deep learning to improve quality, traceability, and productivity in industrial environments.
Description
Primary objective
To industrialize deep learning for visual inspection in production environments. This includes developing models that can be updated using field data (even with limited datasets), enhancing text and code reading through neural networks, enabling deployment on embedded systems (industrial PCs/cameras), and incorporating features tailored for certified contexts and remote operation—all validated through industrial demonstrators.
Project contribution
Euresys
- Development and evolution of its vision libraries (eVision / EasyDeepLearning), involving (1) updating pre-trained models using new field data (including training with limited data), (2) enhancing key functions—such as text and code reading—via neural networks, and (3) optimizing inference for embedded platforms (industrial PCs, smart cameras).
MachineSight
- Integration and deployment of innovations within industrial organizations, including the addition of features tailored to a certified production environment, the development and evaluation of analyses directly within the application, and the option for operation as a remote service.
Financial support
The respective financial contributions of the European Union and Wallonia
For Euresys
Total subvention of: 590 551,93€
- Walloon Region: 354 331,4€
- European Union: 236 220,93€
For the project as a whole
Total subvention of: 1 138 904,75€
- Walloon Region: 683 342,85€
- European Union: 455 561,9€
Demonstrators (“proofs of concept”) will make it possible to validate these advances using representative industrial use cases.
