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Improved Slum Mapping

Utilising facial recognition to identify slums, and community to map them. Making the data open source.

Photo of Tom Cornish
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EXPLAIN YOUR IDEA

Attached is a sample of slums mapped using google maps in Hyderabad, India. This was mapped firstly using google maps, then verified in person. Problem. Access to good data is important for problem solving for decision makers, universities, NGO's and other relevant organisations. Government data exists in many countries but it is hidden behind beaurocratic lines, in formats that are unusable, and often involves bribes. Accessing this data from outside of a country for academic reasons is nigh impossible. Solution. 1) Create an online database of maps for urban slum communities in India. To help fill these maps create a national university lead competition to gather useable standardised data on these slums. 2) Create open source software to visually identify slum communities using google maps (note this has already been done, but it isn't open source). This is basically a version of 'facial recognition software'. This software should also help estimate the size of the slums, and thus the number of people living there based on statistical data. THIS WILL ALLOW UNIVERSITIES AND RESEARCH CENTRES TO CONDUCT MORE INFORMED RESEARCH USING REALISTIC DATA. Expansion ideas: Gain access to night time satellite imagery. This will allow slums to be mapped according to electrification status at the click of a button. This will allow those communities at the bottom of the pyramid to be separated and while providing another accurate data source for decision makers.

WHO BENEFITS?

Everybody benefits! More accurate data means better decisions being made and more innovate ideas being generated by research institutions along with decision makers and local NGO's. This will translate directly to the people living in the slums.

HOW DOES YOUR IDEA TAKE INTO ACCOUNT THE CONTEXT OF URBAN SLUMS AND CLIMATE CHANGE?

More realistic and informed solutions to climate change problems including mitigation and adaptation techniques can be generated through better access to good data.

IN-COUNTRY EXPERIENCE

  • Yes, for two or more years

EXPERTISE

  • I’ve worked in a sector related to my idea for at least two years

GEOGRAPHIC FOCUS

  • Yes

TELL US A BIT ABOUT YOURSELF

Civil engineer and masters in energy systems. Working with urban slum communities in India.

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Photo of Ron Mahabir
Team

Great idea!