Printed matter inspection device, printed matter inspection method, program, and printing apparatus

A printed matter inspection method comprising:

• acquiring print data input to a printing apparatus in a case where a printed matter is generated;
• acquiring imaging data of the printed matter;
• executing registration between the print data and the imaging data by applying a specified registration accuracy;
• and
• performing inspection processing to acquire defect information of the imaging data on the basis of the print data by using the print data and the imaging data on which the registration has been executed,
• wherein a learning model that has learned a relationship between a defect candidate detected from the imaging data and a defect in the printed matter is applied to the inspection processing, and
• the learning model executes the learning by using a disturbance-imparted learning data set having, as an input, disturbance-imparted imaging data in which a disturbance that shifts a position of the imaging data within a range of the registration accuracy in a direction intersecting a relative transport direction between a printer and a medium in the printing apparatus is imparted, and having defect information of the disturbance-imparted imaging data as an output.

A printing apparatus comprising:

• one or more processors configured to acquire print data applied in a case where a printed matter is generated;
• a transporter configured to transport a medium in a medium transport direction;
• and
• a printer configured to execute printing based on the print data on the medium transported using the transporter,
• wherein the one or more processors are further configured to:
• acquire imaging data of the printed matter;
• execute registration between the print data and the imaging data by applying a specified registration accuracy;
• and
• perform inspection processing to acquire defect information of the imaging data on the basis of the print data by using the print data and the imaging data on which the registration has been executed,
• wherein a learning model that has learned a relationship between a defect candidate detected from the imaging data and a defect in the printed matter is applied to the inspection processing, and
• the learning model executes the learning by using a disturbance-imparted learning data set having, as an input, disturbance-imparted imaging data in which a disturbance that shifts a position of the imaging data within a range of the registration accuracy in a direction intersecting a relative transport direction between the printer and the medium is imparted, and having defect information of the disturbance-imparted imaging data as an output.