The project aims to achieve early defect detection in plastic composite injection manufacturing, leading to cost reduction, increased efficiency, and sustainability. It leverages machine learning for optimized processes, supports the use of recycled materials, and aligns with climate agreements. The collaborative consortium approach involves key partners for impactful results.