Applications and Analysis of Factory Production Using Computer Vision

The integration of computer vision technology into factory production offers significant improvements in efficiency, quality, and safety. This study explores the applications and benefits of multi-camera systems and AI models in monitoring and analyzing production processes. Key applications include quality control, process optimization, worker safety, and preventive maintenance. By utilizing real-time data, these technologies enhance product quality, optimize operations, and prevent accidents. Despite challenges such as occlusion, varying illumination, and the need for robust AI models, advancements in 3D point clouds and AI frameworks like YOLOS and Google Mediapipe show preliminary and promising results. This research demonstrates the transformative potential of computer vision in modernizing traditional manufacturing, leading to more efficient, safer, and higher-quality production environments. Future work will focus on refining these technologies and developing prototype systems for widespread industrial application.