Pied Parker, Inc.

Other

Callam Poynter

Gianni Rosas-Maxemin

Robert Mazzola

Francisco Sandoval

George Azzi

John Oglesby

Noah Kindler

Image-based parking recognition and navigation systems and methods are disclosed. An example method includes: obtaining camera data collected by the plurality of cameras, the image data identifying one or more parking locations; analyzing the camera data in accordance with one or more machine learning techniques to identify a plurality of candidate parking location, obtaining, from a smart phone app executed on a mobile user device, a user request to reserve a candidate parking location in the plurality of candidate parking location; determining a location of the candidate parking location based on location data associated with a first camera; identifying a booking method to reserve the candidate parking location based on the location of the candidate parking location; and responsive to obtaining the user request, enabling a user issuing the user request to reserve the candidate parking location through smart phone app executed on the mobile user device.

Image-based parking recognition and navigation

Display screen with graphical user interface

Parking space selection and navigation systems and methods are disclosed. Computing devices are configured to receive a search request from a user device to secure a first parking space, secure a first parking space for the first user device, determine a first value associated with the first parking space and a second value associated with a second parking space based on listing parameters, determine that the second value is greater than the first value by a predefined amount, and, in response to that determination, transmit a message to the user device comprising a prompt configured to secure the second listing and transmitting a second user-selectable message to a second user device, the second user-selectable message comprising a prompt configured to exchange the second parking space with the first with an incentive for the second user device to exchange parking spaces.

Systems and methods for parking space selection and navigation based on weighted parameter comparison

A computerized vehicle management system, comprising a non-transitory memory; and one or more processors coupled to the non-transitory memory and configured to execute instructions to perform operations comprising capturing, using one or more cameras at a parking lot, first image data associated with a vehicle; capturing, using the one or more cameras at the parking lot, second image data associated with the parking lot; providing the image data associated with the parking lot to a computer vision machine learning model to determine a condition of the parking lot indicating at least dimensions of one or more available parking spaces; determining the condition of the parking lot based on a first output of the computer vision machine learning model.

The technologies regarding dynamic image-based parking systems and methods of operation thereof. An example method for operating a camera-based parking management system includes: activating an AI-enabled camera covering a parking area responsive to detecting a parking object; capturing a snapshot of the parking area using the AI-enabled camera; transmitting the snapshot to an edge processor to identify parking object(s) shown in the snapshot; determining that the parking object shown in the snapshot is not capable of being identified with a predefined degree of certainty based on a machine learning model; responsive to the determining: identifying first one or more characteristics about the parking object that potentially reduce identification accuracy; and identifying second one or more characteristics about the snapshot (e.g., imaging angle, orientation, resolution, network speed) that potentially reduce identification accuracy; and automatically adjusting one or more settings of the AI-enabled camera to capture a second snapshot.

Dynamic image-based parking management systems and methods of operation thereof

A computing system, includes: a non-transitory memory; processors coupled to the non-transitory memory and configured to execute instructions to perform operations including: detecting a vehicle at a first location, executing instructions local to the first location by one or more edge processors to determine vehicle specific parameters that identify the vehicle; determining the vehicle is associated with a user account stored in a computerized vehicle management system; in response to the determining that the vehicle is associated with the user account, and transmitting instruction to a first display at the first location to present a user-tailored menu generated by using the edge processors to access a machine learning computer model based on data obtaining from the user account.

Contactless vehicle ordering and automation system

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.

Image-based parking recognition and navigation systems and methods are disclosed. An example method includes: obtaining camera data collected by the plurality of cameras, the image data identifying one or more parking locations; analyzing the camera data in accordance with one or more machine learning techniques to identify a plurality of candidate parking location; obtaining, from a smart phone app executed on a mobile user device, a user request to reserve a candidate parking location in the plurality of candidate parking location; determining a location of the candidate parking location based on location data associated with a first camera; identifying a booking method to reserve the candidate parking location based on the location of the candidate parking location; and responsive to obtaining the user request, enabling a user issuing the user request to reserve the candidate parking location through smart phone app executed on the mobile user device.

Parking space selection and navigation systems and methods are disclosed. One or more computing devices are configured to receive a search request from a first user device to secure a parking space for a vehicle, which includes one or more listing parameter, secure a first parking space stored in a database based on the search request, and determine a first listing value for the first parking space. The computing device(s) are configured to receive information associated with a second parking space and determine a second listing value for the second parking space. The computing device(s) are configured to determine that the second listing value is greater than the first listing value by a predefined value, transmit a message to the first and second user devices, and automatically transmit information relating to the parking reservation to a navigation application to update a destination associated with the second parking space.

Parking space selection systems and methods are disclosed. One or more computing devices are configured to determine a first listing value based on one or more listing parameters associated with a first listing, which is secured by a first wireless device. A second listing value is determined based on one or more listing parameters associated with a second listing. The first and second listing value are compared and a difference between them is determined. It is determined whether the difference between the first listing value and the second listing value exceeds a predetermined threshold. In response to the determination that the difference exceeds the predetermined threshold, a user-selectable message is provided on the first wireless device. The user-selectable message includes a prompt configured to secure the second listing. In response to the prompt, the second listing is secured for the first wireless device.

Systems and methods for parking space selection based on weighted parameter comparison

Vehicular movement detection systems and methods are disclosed. One or more computing devices are configured to monitor location data associated with a first user device. It is determined that a first user device enters a geographic area based on the location data. In response to determining that first user device has entered or departed a geographic area, a message is prompted on the first user device using a first software application. The message includes executable instructions that launch a second application the first user device, and cause the first user device to transmit a search request for a listing location with one or more search request parameters automatically generated in response to the executable instructions. A confirmation identifier is received by the first user device, the confirmation identifier being useable for unlocking a secured area.

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Palo Alto, CA, United States of America

Callam Poynter