Abstract: To improve accuracy of inspecting a quality state of an inspection object. An inspection device 1 includes: an image storage unit 21 that captures a plurality of images having different input channels for an inspection object W under an imaging condition corresponding to each input channel, and stores multiple inspection images obtained by the capturing and combining the plurality of images of the inspection object W; and a determination unit 24 that obtains a defective quality degree for the multiple inspection images stored in the image storage unit 21 based on a learned model 22 created in advance by learning using an image having a same imaging condition as the multiple inspection images, and determines a quality state of the inspection object W by comparison between the defective quality degree and a preset threshold.

Abstract: To improve accuracy of inspecting a quality state of an inspection object. An inspection device 1 includes: an image storage unit 21 that stores, as pseudo RGB images, three inspection images for an inspection object W, which have different transmission characteristics and are obtained by capturing a predetermined type of the inspection object W; and a determination unit 24 that obtains a defective quality degree for the pseudo RGB image stored in the image storage unit 21 based on a learned model 22 created in advance by learning using an image having a same format as the pseudo RGB image, and determines a quality state of the inspection object W by comparison between the defective quality degree and a preset threshold.