Container Analysis

Abstract

Warehouses and Ports use shipping containers as a means of storage as they are efficient, scalable and durable but they require proper identification, logging and increased securityto avoid being stolen. A great fraction of these thefts are due to corruption, collusion, and mismanagement within the warehouse. Our solution to the problem is this: A compre-hensive IoT-based security system for warehouse containers on site, employing advanced vision technology to autonomously identify the containers, with cloud integration for real-time monitoring and management. It aims to automate container tracking using a power and cost efficient dead reckoning algorithm, enhance security, and streamline operations,significantly improving inventory accuracy and operational efficiency, and reliability in varying warehouse scales