Imagine a factory where robots don't just move things, but actually 'see' and 'feel' if a product is perfect. Most companies are afraid to use AI because they don't know when it might make a mistake. This work creates a reliable safety net so machines can handle inspections and testing without human supervision.
Manufacturing companies avoid AI and robotics because they lack trust in the safety and reliability of these systems. This leads to inefficient manual quality checks and rigid production lines.
A set of generic modules for Visual AI, sensor-based AI, and collaborative robotics, currently being deployed in 4 industrial use cases.
If you are a parts manufacturer dealing with slow manual visual checks — this project developed AI-driven visual inspection that improves process efficiency and flexibility. It ensures high-rate production remains accurate without increasing staff workload.
If you are an assembly plant dealing with unpredictable quality drops — this project developed predictive quality control using sensor data. This allows you to fix process errors before they result in wasted materials.
If you are a producer dealing with frequent line changeovers — this project developed collaborative robots enhanced with AI. This makes the transition between different product types faster and more reliable.
Based on available project data, specific pricing is not provided, but the project focuses on creating solutions that are cost-efficient to develop and replicate.
Yes, the project is demonstrating these tools in 4 industry use cases within real production environments to prove they work at scale.
Based on available project data, licensing details are not specified, but the methods are designed to be easily adaptable and replicable for companies outside the consortium.
The project uses a combination of visual AI, sensor-based AI, and collaborative robotics to plug into existing manufacturing processes.
The project period runs until 2026-09-30, with implementation and deployment currently underway in WP3.
The project is heavily industry-driven, with a 67% industry ratio consisting of 8 companies (including 4 SMEs) and 4 research entities. This high concentration of commercial partners across 6 countries suggests the results are grounded in practical market needs rather than theoretical research.
Contact Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung EV
Contact us to connect with the SoliDAIR consortium for pilot implementation.
