Measuring effectiveness of images displayed on a moving object

A system comprising:

• a moving object comprising:
• a display member secured to the moving object and configured to display an image;
• an imaging device secured to the moving object and disposed proximate to the display member, the imaging device to record an environment surrounding the display member;
• and
• one or more processors configured to:
• analyze a recording made by the imaging device to determine a total number of people having a line of sight access to the display member and a portion of the total number of people having the line of sight access to the display member who are looking at the display member;
• and
• determine an effectiveness of the image based on the total number of people having the line of sight access to the display member and the portion of the total number of people looking at the display member.

A method comprising:

• displaying, by a display member secured to a moving object, an image;
• recording, by an imaging device secured to the moving object and disposed proximate to the display member, an environment surrounding the display member;
• analyzing, by a machine learning model, a recording made by the imaging device to determine a total number of people having a line of sight access to the display member and a portion of the total number of people having the line of sight access to the display member who are looking at the display member, wherein analyzing the recording comprises executing the machine learning model on the recording, the machine learning model trained for identifying persons and a direction of gaze;
• and
• determining, by one or more processors, an effectiveness of the image based on the total number of people having the line of sight access to the display member and the portion of the total number of people looking at the display member.