The AI-powered parking lot solution that actually saves you time!

We use Artificial Intelligence and CCTV Cameras in order to determine parking lot occupancy in real-time.

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What problem are we solving?

Search traffic is traffic that occurs only when looking for a parking space.

Research in Krakow shows that the share of search traffic in total traffic ranges from 8-10%, and in other foreign cities, this value can reach 70% [2].

93.7% of drivers said that in the case when there is no free space on the parking lot, they circulate in the hope of its release, and only the remaining 6.3% look for a place on the nearby parking lot [1].

In Los Angeles alone, it was estimated that every year search traffic contributes to the production of 730 tons of carbon dioxide and the consumption of 170 thousand liters of fuel [3].

Our solution

Where To Park aims to streamline the parking process, and at the same time reduce the above-mentioned search traffic, by giving drivers easy access to information about the number of free spaces on nearby parking lots, so that instead of circling around the parking lot, they can immediately drive to the one next to it, because in the application they can see that there will be free spaces there.

App is available for browsers, iOS and Android

Where do we get the data?

Public data

Selected agglomerations offer open access to data from existing parking systems. One of them is Trójmiasto, which through the Tristar system gives access to almost 20 parking lots.

CCTV cameras

We use artificial intelligence to determine the number of free parking spaces. Depending on the parking lot and weather conditions, the detection rate of a free space is about 70-90%, with room for improvement, for which we require more data.

Below are examples of visualizations of the system's functioning.

Program automatically marks green free spaces, and red occupied.

Swimming pool parking lot in Kłodzko

"Królewski" Parking lot in Gdańsk

Possible benefits

Drivers using Where To Park will be able to find a free parking space faster, which will reduce the amount of search traffic and thus reduce the amount of CO2 emissions and fuel consumption.

Use of CCTV cameras is a small intrusion into the infrastructure. We use existing cameras and no special sensors are required.

For the city

For private parking lots

For drivers

Mobile Application


Parking lot data contains:


  1. Duda-Wiertel U. Konsekwencje zmiany dostępności przestrzeni parkingowej we wrażliwych obszarach centrów miast, Politechnika Krakowska, Kraków 2018.
  2. Duda-Wiertel U. Search traffic w obszarach z deficytem miejsc postojowych, Politechnika Krakowska, Kraków 2021.
  3. Aliedani, Ali & Loke, Seng & Desai, Aniruddha & Desai, Prajakta. (2016). Investigating Vehicle-to-Vehicle Communication for Cooperative Car Parking: the CoPark Approach.