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How Machine Learning Can Help You Find a Car Park

By 11 March, 2019 September 25th, 2019 No Comments

Machine learning is not as complicated as you might think, producing amazing results with minimal skill and resources

Finding a car park in the city is like finding a needle in a haystack. But not anymore.

Software developer Adam Geitgey recently commanded a plane surveillance camera to send him an SMS when street parking became available near his house.

Geitgey downloaded a free, open source model, already trained to recognise vehicles. He then commanded it to identify stationary cars – legitimate parking places, taken by cars.

Once a car leaves the space, he gets an SMS alert. Brilliant.

Geitgey writes a regular blog in Medium that explores the progress of machine learning. Its main message is this: as time passes by, one can easily perform tasks once considered very complex, or even impossible.

To set up this nifty SMS alert yourself still requires a certain level of programming knowledge. However, such tasks are more like a puzzle: get the pieces right, and it works.

You can imagine how much a customer, such as a city municipality, would have paid for this kind of application just a year ago!

Image copyright: Adam Geitgey, Medium

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