Automated inventory management and security surveillance system using image processing techniques

Abstract

Efficient inventory management and allocation of cargo space is an imperative parameter in the industry today. In this paper we propose an algorithm to automate complete inventory unit with the aid of image processing and artificial intelligence algorithms. These algorithms work on the data acquired through image processing. This data then integrates with the Artificial Intelligence algorithm which in turn takes inputs from the sensors present on the robot. These sensors help in precise localization of the robot. The path planning algorithm takes input from virtual map buffer which is present in the CPU memory. This buffer in accordance with the sensor data and Image Processing data generates least distance no collision path. The software present can be modified to suit the needs of particular inventory which considers storage factors related to specific class of cargo.