IP Library Granted Patent US 10,713,947
Granted Patent B2
US 10,713,947 · App. 16/442,031 · Granted Jul 14, 2020

Parking sensors capable of determining direction and speed of vehicle entering or leaving parking lot using magnetic signature recognition

Inventor: Sean O'Callaghan (Dallas, TX)
Assignee: The Parking Genius, Inc.
G08G1/148G06Q50/30G08G1/04G08G1/042G08G1/127G08G1/143G08G1/144
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,713,947
App. No.
16/442,031
Granted
Jul 14, 2020
Kind
B2
Abstract

A parking inventory management system includes a sensor apparatus with at least one magnetometer configured to generate a magnetic signature of a vehicle as it drives across the sensor apparatus. A computing device performs an analysis of the magnetic signature of the vehicle as received from the at least one magnetometer, the analysis including at least comparing the magnetic signature of the vehicle as received from the at least one magnetometer to known magnetic signatures of known vehicles. The computing device performs the analysis of the magnetic signature of the vehicle by comparing the magnetic signature of the vehicle to each of the known magnetic signatures of known vehicles to thereby determine a direction of travel of the vehicle based upon the comparison.

Claims (32)

1. A system comprising:

at least one sensor comprising a magnetometer, each sensor of the at least one sensor configured to generate a magnetic signature of a vehicle as it drives across the at least one sensor;

a computing device configured to perform an analysis of the magnetic signature of the vehicle as received from the at least one sensor, wherein the analysis includes comparing the magnetic signature of the vehicle as received from the at least one sensor to known magnetic signatures of known vehicle types to thereby determine a direction of travel of the vehicle relative to the magnetometer based upon the comparison,

wherein each known vehicle type is associated with multiple known magnetic signatures, and

wherein each of the multiple known magnetic signatures associated with each known vehicle type is a magnetic signature of that vehicle type captured during driving of a vehicle of the vehicle type over the sensor from a different direction.

2. The system of claim 1 , wherein the at least one sensor comprises a single sensor.

3. The system of claim 1 , wherein the sensor is disposed at an entrance or exit to a parking lot, wherein a cloud server in operative communication with the computing device is configured to increment a counter representing a number of cars in the parking lot as a function of the direction of travel of the vehicle being into the parking lot; and wherein the cloud server in operative communication with the computing device is further configured to decrement the counter as a function of the direction of the vehicle being out of the parking lot.

4. The system of claim 1 , further comprising a network transceiver associated with the computing device and configured to send the magnetic signature of the vehicle to the computing device; and wherein the computing device is a cloud server.

5. The system of claim 1 , wherein the computing device is further configured to determine a make and model of the vehicle to be equal to the make and model of a matching known magnetic signature of a known vehicle.

6. The system of claim 1 , wherein the computing device is further configured to, during an initial training phase, execute a machine learning technique using each of the known magnetic signatures of known vehicle types; and wherein the computing device performs the analysis of the magnetic signature by performing a machine identification technique, learned based upon the machine learning technique, on the magnetic signature.

7. The system of claim 6 , wherein the computing device performs the machine identification technique so as to determine at least one of (i) a make and model of the vehicle, (ii) a speed of the vehicle, (iii) the direction of travel of the vehicle, and (iv) a position of the vehicle.

8. The system of claim 1 , wherein the computing device performs the analysis of the magnetic signature of the vehicle by comparing the magnetic signature of the vehicle to each of the known magnetic signatures of known vehicle types, and is further configured to determine a make and model of the vehicle to be equal to the make and model of a matching known magnetic signature of a known vehicle type.

9. The system of claim 8 , wherein the computing device is further configured to determine a position of the vehicle as a function of which of the known magnetic signatures for the given known vehicle type matching the make and model of the vehicle was matched by the magnetic signature of the vehicle.

10. The system of claim 8 , wherein the computing device is further configured to determine a speed of the vehicle as a function of which of the known magnetic signatures for the given known vehicle types matching the make and model of the vehicle types was matched by the magnetic signature of the vehicle and a duration of the magnetic signature of the vehicle.

11. The system of claim 2 , wherein the single sensor comprises at least four magnetometers arranged in a rectangular pattern inside a single housing.

12. A method of determining direction of a vehicle, the method comprising:

acquiring a magnetic signature of the vehicle as it drives past a single sensor comprising at least one magnetometer;

performing an analysis of the magnetic signature of the vehicle as received from the single sensor to determine the direction of travel of the vehicle,

wherein the analysis of the magnetic signature of the vehicle comprises comparing the magnetic signature of the vehicle to known magnetic signatures,

wherein each known vehicle type has a plurality of known magnetic signatures associated with each known vehicle type,

wherein each known vehicle type is associated with multiple known magnetic signatures, and

wherein each of the multiple known magnetic signatures associated with each known vehicle type is a magnetic signature of that vehicle type captured during driving of a vehicle of the vehicle type over the single sensor from a different direction.

13. The method of claim 12 , further comprising, during an initial training phase, executing a machine learning technique using known magnetic signatures of known vehicle types; and wherein the analysis of the magnetic signature of the vehicle is performed using a machine identification technique, learned based upon the machine learning technique, on the magnetic signature.

14. The method of claim 13 , wherein the analysis of the magnetic signature of the vehicle is performed by comparing the magnetic signature of the vehicle to known magnetic signatures of known vehicle types, and wherein the analysis determines a make and model of the vehicle to be equal to a make and model of a matching known magnetic signature of a known vehicle type from among the known magnetic signatures of the known vehicle types.

15. The method of claim 13 , wherein the direction of travel of the vehicle is determined as a function of which of the known magnetic signatures for the known vehicle type matching the make and model of the vehicle was matched by the magnetic signature of the vehicle.

16. The method of claim 13 , wherein a speed of the vehicle is determined as a function of which of the known magnetic signatures for the known vehicle type matching the make and model of the vehicle was matched by the magnetic signature of the vehicle and a duration of the magnetic signature of the vehicle.

17. A system comprising:

a single sensor comprising a housing enclosing at least one magnetometer configured to acquire a magnetic signature of a vehicle as it drives past the single sensor; and

a computing device configured to perform an analysis of the magnetic signature of the vehicle to determine a direction of the vehicle,

wherein the analysis includes comparing the magnetic signature of the vehicle as received from the single sensor to known magnetic signatures of known vehicle types to thereby determine the direction of travel of the vehicle relative to the magnetometer based upon the comparison,

wherein each known vehicle type is associated with multiple known magnetic signatures, and

wherein each of the multiple known magnetic signatures associated with each known vehicle type is a magnetic signature of that vehicle type captured during driving of a vehicle of the vehicle type over the sensor from a direction.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Apr 9, 2024
From: WEBSTER BANK, NATIONAL ASSOCIATION, AS AGENT
To: PARKHUB, INC.
Reel/Frame 067048/0042 →
SECURITY INTEREST Recorded Apr 9, 2024
From: PARKHUB, INC.
To: MONROE CAPITAL MANAGEMENT ADVISORS, LLC, AS COLLATERAL AGENT
Reel/Frame 067052/0208 →
SECURITY INTEREST Recorded Jan 28, 2022
From: PARKHUB, INC.
To: WEBSTER BANK, NATIONAL ASSOCIATION
Reel/Frame 058811/0789 →
MERGER AND CHANGE OF NAME Recorded Jul 13, 2021
From: THE PARKING GENIUS, INC.; PARKHUB, INC.
To: PARKHUB, INC.
Reel/Frame 056860/0602 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 17, 2019
From: O'CALLAGHAN, SEAN
To: THE PARKING GENIUS, INC. DBA PARKHUB
Reel/Frame 049488/0967 →
Continuity (2)
Continuation 15711796 · Sep 21, 2017
Related Publication 20190295416A1 · Sep 26, 2019