Crowdsensing and Image Processing as a Method for Analysis and Population Count Based on the Classification and Validation of Multimedia

Abstract

The growth of cities and the advancement of technology demands the development of solutions that can help and reduce emerging problems. One of these problems is the control of the population and urban planning based on population count, flow, and density analysis. This paper proposes an approach that could help cities to gather population data in a contextualized manner with the usage of localization, sensor, and weather data. It is based on a method to collect vast quantities of information and a way to validate and analyze gathered data. The data recollection is achieved through crowdsensing and smartphones. Validation and analysis are made with cloud-based image analysis and neural networks. Results show the usefulness and effectiveness of the proposed solution; also, some considerations are presented with the proposal.