Homeless Tents Detector
Using Picterra software to identify homeless tents throughout the city.
Designed by Tejas Kulkarni, Aditya Kumar, and Rolan Mou
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Inspiration
When I visited Los Angeles with my family, I was horrified to see countless homeless tents on the sides of many of the roads.
And during this pandemic, these people have nowhere to go.
They need to be relocated for the safety of themselves and everybody around them.
Our Business Model
Problem
In certain cities such as Los Angeles, the homeless population is significantly high. They face sanitation issues and could be a potential threat during this pandemic.
Solution
They need to be relocated for their own safety and the safety of the local residents. Once areas with high concentrations of homeless tents are identified, the homeless people can be moved to safer camps.
Our Business Model (con.)
Innovation
Using the Picterra platform's machine learning capabilities, our team will train a model that can detect homeless tents given satellite imaging of a portion of a particular city.
Customer
The user of this innovation would be the city of Los Angeles, as it would be responsible for relocating the homeless, improving the overall well-being of the area.
The Pitch
Our solution would help cities such as Los Angeles in aiding homeless people by, for example, relocating them to safe centers.
Prototype Draft
Final Prototype
Demo
How we plan to automate
For this feat to be achievable on a larger scale. We cannot rely on individually inputting portions of the city to the detector for results. So we have -
Any Questions?