Fusion Model and Human-Machine Collaborative Solution for Automated Sensory Inspection Systems

Manufacturing processes are actually alive because the factors of the processes changes continuously and suddenly. In response to the change problems, sophisticated knowledge of skilled human experts has been applied to solve them flexibly. However, this kind of solution is subjective, inconsistent, and dependent on certain experts. Deskilling is a key to realize stable manufacturing with reasonable quality, cost, and delivery. Many types of automated systems have been deployed at the manufacturing process for realizing the deskilling. However, there still remain problems in flexibility against the changes. In this article, an automated sensory inspection system is employed to discuss the problems and the flexible solution against the changes. Based on the discussion, two types of solutions are proposed. The first one is fusion model and the second, human-machine collaborative decision making. Both solutions are considering the data distribution maturity in the manufacturing line.