Challenges Encountered in Building A Fast and Efficient Surveillance System: An Overview

Abstract

Most often a prominent IoT application in a residential area and office spaces for simple surveillance. Challenge wrests in the legal systems nowadays to any developing nations, especially in those nations where the density of populations is more than normal. Here a huge task-force is required to monitor and maintain law and order situations across the loop and corner of the cities and villages. CCTV's is deployed to at-least capture some part of the busy streets and at a server room; it is being monitored by some officials. With a large number of data being produced as part of criminals, suspects, missing profiles, etc., it would be difficult for any officials to keep track of those data sets manually. Hence if a smart system can be used to process the videos as and when it is captured, one can say 90% of the task of monitoring the busy streets can be achieved. In this paper, it is possible to review the works/algorithms based on four categories for building fast, efficient, and accurate Surveillance Systems, i.e., face detection, face recognition, video/image processing, pattern matching in a video surveillance system. The investigation in these recent advancements will help one to build a better surveillance system.