A method for managing vehicles comprises: detecting motion of an object at a first location associated with a geographic area using a motion sensor, the geographic area including one or more parking locations; responsive to detecting the motion of the object at the first location, capturing, using one or more cameras, image data associated with the first location; using one or more edge processors located within a threshold proximity of the geographic area to access a machine learning computer vision model. The one or more edge processors are configured to execute instructions locally to the first location to perform operations comprising: obtaining, at the computer vision model, the image data associated with the object; determining, by the computer vision model, that the object is a vehicle; identifying, by the computer vision model, one or more vehicle specific parameters associated with the vehicle; and determine the one or more vehicle specific parameters that identify the vehicle. The method further comprises: determining that a user account identified by the one or more vehicle specific parameters matches a vehicle-user account stored in the computerized vehicle management system by comparing vehicle specific parameters against a vehicle-user account database included in the computerized vehicle management system; executing one or more actions with respect to the user account in the computerized vehicle management system; and responsive to executing the one or more actions with respect to the user account, transmitting instructions to an access control mechanism at the geographic area to permit access to the one or more parking locations by the vehicle.