ExpertiseUpdated on 23 April 2025
Vision for Production (V4P)
About
V4P (Vision for Production) is a research and development group focused on delivering cutting-edge, high-performance vision AI solutions tailored for complex, harsh manufacturing environments. The group pioneers an advanced hybrid data approach—combining synthetic data, generative AI, and real-world samples—to train robust AI models. By embedding rich domain knowledge, such as CAD data, surface-light interaction models, and defect or texture representations, V4P significantly enhances model generalization and reliability.
A core strength of V4P lies in Virtual Commissioning, where the team optimizes vision system configurations, including viewpoints and topologies, before deployment. This accelerates integration while reducing trial-and-error phases on-site. Additionally, the group champions Easy Retraining pipelines that incorporate data space analysis, automatic corner case detection, and pathways toward fully automated retraining workflows—ensuring long-term system adaptability and resilience.
Unique Selling Points (USPs):
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High-speed vision and AI pipelines
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Markerless 3D scanning and inspection
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Industrial-grade robustness in challenging production settings
V4P’s mission is to democratize intelligent vision in manufacturing by making systems smarter, faster, and more adaptive—from digital twin simulations to real-world operations.
Field
- Manufacturing
- Construction
- AI-GenAI /Data/Robotics
- Testing & Analysis
Similar opportunities
Service
- Manufacturing
- Sustainability
- Virtual Worlds
- Decarbonisation
- Energy Efficiency
- Research & Development
- AI-GenAI /Data/Robotics
Monica Florea
Head of Unit European Projects at Software Imagination & Vision
Bucharest, Romania
Expertise
Production Employee Information Systems (PEIS)
- Construction
- Manufacturing
- Virtual Worlds
- Other expertise
- Testing & Analysis
- AI-GenAI /Data/Robotics
Merwan BIREM
Senior Research Engineer at Flanders Make
Leuven, Belgium
Expertise
- Construction
- Manufacturing
- Raw Materials
- Sustainability
- Virtual Worlds
- Energy Efficiency
- AI-GenAI /Data/Robotics
- Modelling, simulation, predictive technologies
Merwan BIREM
Senior Research Engineer at Flanders Make
Leuven, Belgium