Korea Institute of Science and Technology

Hyukjun Yoo

Donghun Kim

Sang Soo Han

Nayeon Kim

Leslie Tiong Ching Ow

There is provided a method and an apparatus for diagnosing an object placement error by using an artificial neural network by which feature data of the (N+1)-th stage among the feature data of a plurality of stages is generated by using any one feature data among a plurality of feature data generated in an operation process of a main network and feature data of the plurality of stages, and a placement error of at least one object is diagnosed by using an artificial neural network of a new structure, and thus, the diagnosis accuracy of a placement error of an object that is difficult to detect an edge, such as a transparent vial, may be greatly increased.

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Seoul, South Korea

Hyukjun Yoo