Abstract: An inspection method for a lithium secondary battery can improve the reliability, accuracy, and reproducibility of inspection results by advancing a learning of an artificial neural network according to one or more divided regions of one or more surfaces of the lithium secondary battery and one or more types of defects occurring in each region.

Abstract: A system for inspecting an exterior of a battery cell includes a tray on which battery cells are mounted in a plurality of rows, a first photographing part configured to horizontally move along the tray and photograph an upper surface of the battery cell while on the tray, at least one shuttle on which the battery cell is mounted, a transfer part configured to transfer the battery cells from the tray to the shuttle, a second photographing part configured to photograph a side surface and a lower surface of the battery cell while in the shuttle, and an inspection part configured to inspect a photographed image and determine whether the battery cell is defective. The second photographing part simultaneously photographs the side surface and the lower surface of the battery cell to simultaneously display the side and lower surfaces of the battery cell in one image.