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DESCRIPTION: I am working on a project to find out how many people are in a given region. Basically I want to make a heatmap showing how people move in a specific day throughout 24h. In order to do so, I was able to get some phone traffic data that shows me people's traffic data (how much time they spend on a given area) and it works perfectly.

PROBLEM: phone traffic data is very expensive.

QUESTION: Are you aware of any technology that would allow me to count/estimate the number of people in a given region without using phone traffic data? Feel free to be creative.

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    this site is not a brainstorming forum ... it is a question and answer site that requires a focused question that does not have multiple answers ... Are you aware ..? is a question that asks about people's knowledge ... it does not ask about the problem you are trying to solve
    – jsotola
    Nov 22, 2022 at 18:51
  • How big is a region? Who are “people”? Anyone? A specific population? Can you extrapolate from a subset of the population (e.g. users of a specific app)?
    – jcaron
    Nov 22, 2022 at 20:01
  • how can the phone traffic data be accurate? ... lot of people carry more than one phone .... have you considered OpenCV?
    – jsotola
    Nov 22, 2022 at 23:47
  • @jsotola my guess is that OP tries to do something close to the change in mobility graphs that were produced towards the beginning of the Covid crisis to measure the impact of the restrictions, so more like home-to-work commute over distances measured in km or more rather than within a room or building. But I may be wrong, hence the questions above.
    – jcaron
    Nov 23, 2022 at 13:07
  • @jcaron With people I mean generic people in a given area for example a 250x250 m cell over a given region (something like a choropleth map). And yes, extrapolating data from a subset would be ok. Nov 23, 2022 at 13:12

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Here is an awesome open source project for inspiration https://github.com/opendatacam/opendatacam

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