SMART PARKING USING OPEN CV

Nowadays, finding a parking spot in urban cities is getting more and harder as the number
of cars increases. So, in order to lessen rush hour traffic in parking spaces, an effective car
parking occupancy monitoring system is becoming a necessity. This work offers a system
that can determine if a parking place is filled or not using aerial photos taken by a camera,
based on algorithms that use computer vision and fundamental image processing techniques.
It attempts to address the problem of parking spot detection by reducing the amount of time
spent exploring parking lots, which in turn lowers carbon emissions and improves quality
of life. Hardware devices, sensors, the Internet of Things, the CNN network, and multiple
deep learning algorithms are currently used as solutions to this issue. However, the
suggested solution does away with all of the aforementioned complexity, which significantly
reduces costs.