UMSL Dataslayers

We are creating an integrated solution to make parking on campus more efficient and take less time.

Goal

As students, we want to park quickly, so that we are on time to class and can do better academically.

How We Did It

We used computer vision combined with low-cost hardware (Raspberry Pi) to track cars entering a garage or parking lot. By keeping a running tally of the cars in a lot or garage, and comparing that to the number of spaces in the lot or garage, we can quickly and reliably determine whether a lot is full. If the lot is full, we can alert drivers either through physical indicators or through an app, allowing them to spend less time searching for parking in a full garage, and more time focusing on academics.

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