INACITY - INvestigate and Analyze a CITY

Author(s)

Almeida de Macedo Oliveira, Artur Andre ^[1] ; Hirata Jr, Roberto

Affiliation

^[1] Univ Sao Paulo, Comp Sci Dept, Inst Matemat & Estat, Rua Matao 1010, BR-05508090 Sao Paulo, SP - Brazil

• Document type: Journal article
• Source: SOFTWAREX; v. 15, JUL 2021.
• Web of Science Citations: 0

Abstract

INACITY is a platform that integrates Geo-located Imagery Databases (GIDs), Geographical Information Systems (GIS), digital maps, and Computer Vision (CV) to collect and analyze urban street-level images. The platform's software architecture is a client-server model, where the client-side is a simple Web page that allows the user to select regions of a map and select filters to analyze and visualize urban features. The server side is a Django-powered Web service with PostgreSQL and Neo4j databases. Users can select a region of a map, an image filter, and geographical features to analyze relevant urban characteristics as trees, for instance, using the platform. An open-source implementation of the platform is available. The architecture is extensible, and it is easy to add new modules or replace the existing ones with new digital maps, GIS databases, other CV filters, or other GIDs. (C) 2021 The Authors. Published by Elsevier B.V (AU)

• FAPESP's process: 18/10767-0 - Investigate and analyze a city - INACITY
• Grantee: Artur André Almeida de Macedo Oliveira
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• FAPESP's process: 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery
• Grantee: Roberto Marcondes Cesar Junior
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 15/24485-9 - Future internet for smart cities
• Grantee: Fabio Kon
• Support Opportunities: Research Projects - Thematic Grants