Identifying camera accessories and optimizing a photo experience

A system comprising:

• one or more processors;
• and
• logic encoded in one or more non-transitory media for execution by the one or more processors and when executed are operable to:
• receive identifying information associated with a camera accessory for a camera;
• determine a unique identifier of the camera accessory based on the identifying information;
• provide the unique identifier of the camera accessory and a unique identifier of the camera to a machine-learning model;
• output, with the machine-learning model, one or more optimization parameters associated with the camera accessory, wherein the one or more optimization parameters guide a user on how to use the camera accessory with the camera;
• generate graphical data for displaying a user interface that includes the one or more optimization parameters as options;
• receive via the user interface, a selection from the user of the one or more optimization parameters;
• and
• responsive to receiving the selection from the user, apply the one or more optimization parameters.

Software encoded in one or more non-transitory computer-readable media for execution by one or more processors and when executed is operable to:

• receiving an image of at least a portion of a camera accessory for a camera including identifying information associated with the camera accessory;
• determining a unique identifier of the camera accessory based, at least in part, on the image;
• provide the unique identifier of the camera accessory and a unique identifier of the camera to a machine-learning model;
• output, with the machine-learning model, one or more optimization parameters associated with the camera accessory, wherein the one or more optimization parameters guide a user on how to use the camera accessory with the camera;
• generate graphical data for displaying a user interface that includes the one or more optimization parameters;
• and
• apply the one or more optimization parameters.