Systems and methods for tuning symbol readers

A system comprising:

• an imaging device associated with a set of attributes and configured to capture images according to the set of attributes;
• and
• at least one processor configured to execute computer executable instructions, wherein the computer executable instructions comprise instructions for:
• receiving, from the imaging device, an image of an object that is at least partially within a field-of-view (FOV) of the imaging device;
• in response to a presence of a symbol within the image, generating a region of interest (ROI) of the symbol;
• generating, using a machine learning model, a quality metric for the image, wherein the quality metric indicates a measurement that the ROI of the symbol can be decoded;
• and
• adjusting the set of attributes of the imaging device based, at least in part, on the quality metric for the image.

A non-transitory computer readable medium storing computer executable instructions configured to, when executed by at least one processor, cause the at least one processor to:

• receive, from an imaging device associated with a set of attributes, an image of an object that is at least partially within a field-of-view (FOV) of the imaging device, wherein the imaging device captured the image according to the set of attributes;
• in response to a presence of a symbol within the image, generate a region of interest (ROI) of the symbol;
• generate, using a machine learning model, a quality metric for the image, wherein the quality metric indicates a measurement that the ROI of the symbol can be decoded;
• and
• adjust the set of attributes of the imaging device based, at least in part, on the quality metric for the image.