Real-time stadiametric ranging

An optic device comprising:

• a lens;
• an imager configured to capture digital image data via the lens;
• a display configured to display images to a user;
• memory configured to store physical properties of one or more object types, and computer-executable instructions;
• and
• at least one processor configured to execute the computer-executable instructions to:
• receive the digital image data captured by the imager;
• detect at least one object in the digital image data using at least one machine learning model;
• determine a confidence level indicating a confidence of object detection performed by the at least one machine learning model;
• transform the at least one detected object into graphical markup data and identification data;
• correlate the identification data with the physical properties of one or more object types stored in the memory, including obtaining an average height physical property associated with a type of the at least one detected object from memory;
• determine a minute of angle (MOA) that a pixel of the display of the optic device represents;
• calculate a distance to the at least one detected object using correlated object properties and image capture device properties including the MOA that a pixel of the display represents, including calculating an estimated range from the optic device to the at least one detected object based on the average height physical property and a height of the at least one detected object in the digital image data;
• display the calculated distance, confidence level and graphical object markup cues on the display of the optic device;
• and
• display a corrected reticle on the display of the optic device, wherein the corrected reticle is positioned based on the correlated object properties of the at least one detected object and the calculated distance to the at least one detected object.