OS Doors: AI-Driven Computer Vision for Automated Defect Detection in Kitchen Door Manufacturing

Smart Manufacturing relies on perfect quality control, yet many vital checks, like visual inspection of finished products, are still done manually. In high-volume production, this human-led process is a critical bottleneck, leading to inconsistent quality, costly rework, and the risk of shipping flawed products. This project seeks to move beyond these limitations by developing cutting-edge AI vision systems addressing an urgent industrial challenge with immediate, large-scale impact. The project will take existing knowledge in computer vision and deep learning and apply it directly to a demanding, real-world kitchen door manufacturing environment.The core research objective is to address the current limitations of manual quality assurance at OS Doors by creating a fully automated system for visual inspection.