1. A method for adaptive learning in a pattern recognition system, the method comprising: receiving image data and local object recognition data from at least one first local image processing system, the local object recognition data based on a at least one first local classification algorithm; storing the object recognition data in at least one global database, the at least one global database associated with a centralized expert system; analyzing the image data using at least one expert system classification algorithm; determining accuracy of the first local classification algorithm based on analysis by the at least one expert system classification algorithm; and transmitting an update to the at least one first local classification algorithm to improve the accuracy thereof.