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Leveraging Artificial Intelligence for Slum Mapping and Upgrading Programs Using Drones
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In many developing counties, urban slums pose significant challenges to residents and authorities alike. The lack of accurate, up-to-date information on slum settlements hampers effective urban planning and slum upgrading initiatives. This chapter explores the potential of artificial intelligence (AI) coupled with drone technology in mapping and analysing slum areas for the purpose of informing and supporting slum upgrading programs. By leveraging AI algorithms for image processing and analysis, coupled with high-resolution aerial imagery captured by drones, this approach offers a cost-effective and efficient method for mapping slum areas, identifying key features, and prioritizing interventions. The chapter discusses the technical aspects, challenges, and opportunities associated with AI-based slum mapping, along with case studies done by selecting 10 slums in Bangalore and recommended government and local corporation to implement the schemes of government as early as possible to see the practical applications to demonstrate its effectiveness in supporting slum upgrading efforts.
Title: Leveraging Artificial Intelligence for Slum Mapping and Upgrading Programs Using Drones
Description:
In many developing counties, urban slums pose significant challenges to residents and authorities alike.
The lack of accurate, up-to-date information on slum settlements hampers effective urban planning and slum upgrading initiatives.
This chapter explores the potential of artificial intelligence (AI) coupled with drone technology in mapping and analysing slum areas for the purpose of informing and supporting slum upgrading programs.
By leveraging AI algorithms for image processing and analysis, coupled with high-resolution aerial imagery captured by drones, this approach offers a cost-effective and efficient method for mapping slum areas, identifying key features, and prioritizing interventions.
The chapter discusses the technical aspects, challenges, and opportunities associated with AI-based slum mapping, along with case studies done by selecting 10 slums in Bangalore and recommended government and local corporation to implement the schemes of government as early as possible to see the practical applications to demonstrate its effectiveness in supporting slum upgrading efforts.
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