Machine Vision Systems for Smart Cities: Applications and Challenges

Abstract

AbstractA smart city employs information and communication technology (ICT) to boost efficiency and productivity, share data with the public, and promote government service and citizen satisfaction. Smart cities use a combination of low-power sensors, cameras, and AI algorithms to observe the city’s operation. Machine vision has advanced in terms of recognition and tracking thanks to machine learning. It provides efficient capture, image processing, and object recognition for vision applications. Governments benefit greatly from the use of machine vision and other smart applications. This technology allows city administrators to easily integrate and utilize resources. As the “eyes” of the city, computer vision plays an important role in smart city management. The chapter begins with a brief review of machine vision, smart cities, and real-world machine vision applications in smart cities. Lastly, we highlight several smart city difficulties and prospects discovered through a comprehensive literature review.KeywordsSmart cityMachine visionDeep learningSmart city application