Computer Vision Diagnostic Tool Using Deep Learning

Computer vision systems have long surpassed human capabilities in manufacturing tasks. However, humans still excel in tasks that require fine motor skills. Namely, the assembly of large products, requiring the integration of numerous components and sub-assemblies. This study explores the feasibility of a stand-alone anomaly-detection model implemented on a mobile device. The application of this study is to develop a diagnostic tool to identify potential product issues throughout the assembly process.