Gesture interpreter for randomised supply chain operations using 3D cameras array

Abstract

In today's supply chain management, products are being track by many technologies including barcode and RFID. Such technologies are rigid and often prone to errors. In this paper, we will examine the reciprocated picking processes that exist within the supply chain, from manufacturing to retail chains. Utilising an array of 3D cameras, a new method to capture the user's physical interaction and gesture within the picking environment has been developed. Unlike other technologies, this new method has no physical scanning performed by the users, since there are already relationship established between product and pick face's location. Since the item picked can be randomised without the utilisation of a pick slip, it is then possible for the new method to be incorporated as part of an automated checkout procedure for retail chain.