Real-time supervised machine learning system and method for field environment

An automated guided vehicle (AGV) (100) includes a mobile chassis (105) having a powertrain (435) for driving the AGV (100) in an autonomous navigation mode within a facility; a first camera (140A) isused for collecting first image data of an object in the facility; and a second camera (140B) is used for acquiring second image data of an object in the facility, and comprises a content filter anda main control module (170) for receiving the first image data and the second image data transmitted from the first camera and the second camera (140A, 140B). The primary control module (170) executesan identification neural network program (413). An identification neural network program (413) identifies a target in the first image data. The primary control module (170) also executes a supervisory program (412) under user control. The supervisory program (412) receives the second image data and identifies tags (511, 512, 513, 711, 712, 713, 714, 811, 812, 813, 911, 912) in the second image data that are attached to the