An Architectural Proposal for an Automatic Vacant Parking Detection System

Finding free parking space is a common problem in cities nowadays, both in streets and parking lots. This problem causes traffic congestion and influence in the delay of people to get to their jobs. With the advent of smart cities and buildings, research in this area is increasingly relevant. This work proposes a distributed architecture of a real time system for the detection of vacant space in parking lots, using computerized vision and machine learning. The proposed architecture seeks to minimize the search time for a parking space, as well as reduce the congestion resulting from having to maneuver in small spaces with pedestrians. The expected benefits are mainly the reduction of delays in reaching the position of work and study, and the risk reduction of pedestrians circulating in the parking areas, all this with a minimum investment