Algorithms for industrial product appearance inspection were previously developed by specialists. Moreover, depending on the content being evaluated, it was often necessary to rely on manual sensory evaluation.
In response to this, Fuji been engaged in the research and development of automatic visual inspection technology using deep learning to facilitate the automation of sensory evaluation without having to rely on specialists to develop algorithms. This technology contributes to improvements in both manpower saving and quality.
Flow example for automatic visual inspection using deep learning