ManuCopilot
- Tema
Tecnologia e Innovazione
- Sottocategoria
Tecnologie Emergenti
Our AI-driven quality control system helps SMEs in industries like automotive, machinery, and food processing by detecting manual assembly errors in real-time. Using computer vision and lightweight AI, it provides instant alerts to operators, enabling quick corrections and reducing defects. The system also generates data-driven insights for managers to optimize productivity, enhance quality, and lower costs, all without replacing workers.
Emad Barandan- Team Leader
Mechanical engineering for sustainability
A mechanical engineer with experience in industrial sectors, is passionate about Industry 4.0 and integrating AI into production lines to drive innovation.
Leila Allhadad
Mechanical engineering for sustainability
A mechanical engineer with experience in the automotive industry, deeply understands manufacturing and assembly challenges. She brings practical solutions to enhance efficiency and minimize waste.
Erfan Rezaei
Business Management
A business management student at the University of Trieste, specializes in startup development, strategic evaluation, and profitability analysis. His insights ensure that our idea is both viable and scalable.
Nazanin Madakhel
Nazanin, a physics graduate and expert in data science and artificial intelligence, specializes in machine learning and neural networks, ensuring that our AI-driven system is both accurate and efficient.
Entra in contatto con il team
Contatti
Puoi contattare direttamente il project leader scrivendo a
Il 2 aprile partecipa online su Teams
