Short range wireless translation methods and systems for hands-free fare validation

• US 10,453,067 B2
• Filed: 08/31/2017
• Issued: 10/22/2019
• Est. Priority Date: 03/11/2011
• Status: Active Grant

• Current Assignee: Siemens Mobility, Inc. (Siemens AG)
• Original Assignee: Bytemark Incorporated (Siemens AG)
• Inventors: Bergdale, Micah, Donovan, Edward, Ihm, Nicholas, O'Haire, Michael
• Primary Examiner(s): Chang, Edward
• Application Number:
  US15/692,503
• Publication Number:
  US 20180068315A1
• Time in Patent Office: 782 Days
• Field of Search: 705 35
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 20/0457 the tickets being sent electronically
• CPC Class Codes: G06Q 20/3274 using a pictured code, e.g. barcode or QR-code, being displayed on the M-device
• CPC Class Codes: G06Q 20/3827 Use of message hashing
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 2220/00 Business processing using cryptography
• CPC Class Codes: G07B 15/00 Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points handling coins or valuable papers, e.g. banknotes, G07D; apparatus for vending or hiring articles or services activated by coins, credit cards, paper currency or the like G07F7/00, G07F17/00
• CPC Class Codes: G07B 15/02 taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems G07B15/06 takes precedence; taximeters G07B13/00; parking meters per se G07F17/24; car rental systems per se G07B15/00
• CPC Class Codes: G07B 15/04 comprising devices to free a barrier, turnstile, or the like turnstiles with registering means G07C9/10; coin-freed aspects G07F17/00
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04M 1/72457 according to geographic location
• CPC Class Codes: H04M 2250/02 including a Bluetooth interface
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: H04W 40/244 using a network of reference devices, e.g. beaconing

Abstract

Systems and methods using Bluetooth with a user application on a mobile device to facilitate hands-free fare validation at a transit station. Utilizes a set of signal strength detection data points and timestamps from a mobile device and synchronizes location data points and timestamps from a camera and determines an estimated location of the mobile device according to the set of signal strength detection data points and timestamps from the mobile device and the location data points and timestamps from the camera. This provides enhanced accuracy in determining the correct mobile device. The system computing device determines that the mobile device contains a valid ticket or does not, wherein the mobile device contains a valid ticket and the system computing device determines the estimated location of the mobile device is within a predetermined area the system computing device will mark the ticket as used and allow entry.

Claims

1. A system for accurately estimating location and taking a ticket from a mobile device, said system comprising:

at least one entry point having a left side, a right side and an overhead side;

at least two bluetooth low energy beacons attached to at least one of a portion of the entry point and an area adjacent to a portion of the entry point;

a mobile device in communication with the at least two bluetooth low energy beacons and a system computing device, wherein the mobile device listens to the at least two low energy beacons and determines a signal strength for each of the at least two bluetooth low energy beacons and communicates the signal strength and associated timestamp to the system computing device to provide a signal strength detection data point for each of the at least two bluetooth low energy beacons and creates a set of signal strength detection data points and associated timestamps for the group of signal strength detection data points;

at least one camera, wherein the at least one camera tracks a user holding the mobile device and provides at least two location data points and timestamps and communicates the at least two location data points and timestamps to the system computing device to provide a set of location data points and timestamps for the group of location data points;

wherein the system computing device determines an estimated location of the mobile device according to the set of signal strength detection data points and timestamps from the mobile device and the location data points and timestamps from the camera by synchronizing the set of signal strength detection data points and timestamps from the mobile device with the at least two location data points and timestamps from the camera;

wherein the system computing device determines that the mobile device contains a valid ticket and the system computing device determines the estimated location of the mobile device is within a predetermined area the system computing device will mark the ticket as used and allow entry through the entry point.

2. A system as in claim 1, further comprising:

a mechanical gate with an open position and a closed position, wherein the mechanical gate is behind the at least one entry point in a direction of travel, wherein the system computing device allows entry through the entry point by directing the mechanical gate to go to the open position.

3. A system as in claim 1, wherein the at least two Bluetooth low energy beacons broadcast at least two bluetooth low energy advertisement packets with transmit power data.

4. A system as in claim 1, wherein the camera is a three dimensional camera.

5. A system as in claim 1, wherein the system computing device synchronizes the set of signal strength detection data points and timestamps from the mobile device with the at least two location data points and timestamps from the camera upon the camera detecting a user has entered a camera field.

6. A system as in claim 1, wherein the set of signal strength detection data points and timestamps from the mobile device are filtered and smoothed before the system computing device synchronizes the set of signal strength detection data points and timestamps from the mobile device with the at least two location data points and timestamps from the camera and determines an estimated location of the mobile device.

7. A system as in claim 6, wherein the set of signal strength detection data points and timestamps from the mobile device is filtered using Kalman filter and smoothed using cubic spline as a form of interpolation in order to construct new data points to smooth and improve the accuracy of the RSSI data.

8. A system as in claim 6, wherein the set of signal strength detection data points and timestamps from the mobile device is filtered using Kalman filter and smoothed using polynomial curve fitting.

9. A system as in claim 1, wherein the at least two Bluetooth low energy beacons acts as a transmitter and the mobile device acts as a receiver.

10. A system as in claim 3, wherein the transmit power data is used by an application on the mobile device to determine the signal strength detection data points as a received signal strength indicator value (RSSI value) and the mobile device transmits the RSSI value and timestamp to the system computing device.

11. A system as in claim 10, wherein the mobile device transmits a unique ID with the signal strength data points which are organized into data sets corresponding to a user.

12. A system as in claim 1, wherein the at least two bluetooth low energy beacons are contained inside a metal box with an open side and a closed side and the open side is parallel to the intended direction of travel of a user.

13. A system as in claim 3, wherein the at least two Bluetooth low energy beacons broadcast a universally unique identifier.

14. A system as in claim 10, wherein the RSSI value is calculated by the mobile device for each received advertisement packet.

15. A system as in claim 1, wherein there are ten Bluetooth low energy beacons, with two Bluetooth low energy beacons attached to the inside of the left side, two Bluetooth low energy beacons attached to the inside of the right side, two Bluetooth low energy beacons attached to the outside of the left side, two Bluetooth low energy beacons attached to the outside of the right side, the camera is attached to the overhead side and one Bluetooth low energy beacon is in front of and proximal to the camera and one Bluetooth low energy beacon is behind and proximal to the camera.

16. A system as in claim 15, wherein the two Bluetooth low energy beacons attached to the inside of the left side and the two Bluetooth low energy beacons attached to the inside of the right side are placed at 3 feet and 4 feet from the ground.

17. A system as in claim 1, further comprising at least one external beacon antenna that converts electric power into radio waves that transmit advertisement packets that are received by an antenna on the mobile device.

18. A system as in claim 17, wherein the at least one external beacon antenna is attached to the overhead side of the entry point.

19. A system as in claim 18, wherein the at least one external beacon antenna is a first antenna in front of a second antenna in the intended direction of the user'"'"'s travel towards the mechanical gate.

20. A system as in claim 18, wherein an RF pattern for each overhead attached external beacon antenna is a leaf shaped pattern having a narrow main lobe and two side lobes on each side of the main lobe.

21. A system as in claim 17, wherein the at least one external beacon antenna is a directional antenna.

22. A system as in claim 17, wherein the at least one external beacon antenna has an the antenna gain that is 10 dBi (Decibels relative to an isotropic radiator).

23. A system as in claim 17, wherein the at least one external beacon antenna has a horizontal and vertical beamwidth that for the antenna is 18 degrees.

24. A system as in claim 17, wherein the at least one external beacon antenna is externally attached to at least one of the left side of the entry point and the right side of the entry point.

25. A system as in claim 17, wherein the at least one external beacon antenna is a magnetic dipole trace antenna.

26. A system as in claim 17, wherein an RF pattern for at least one of the externally attached beacon antennas is a toroid shaped pattern.

27. A system as in claim 24, wherein a gain for each externally attached external beacon antenna is 2.5 dBi (Decibels relative to an isotropic radiator).

28. A system as in claim 17, wherein the at least one external beacon antenna is contained in a metal box with a closed back, four sidewalls and an open side.

29. A system as in claim 28, wherein RSSI values from different beacons are compared and an assumption is applied that RF waves that experienced diffraction loss from metallic walls of the metal box will have a lower RSSI value than RF waves that have not been diffracted at the same distance.

30. A system as in claim 28, wherein the four sidewalls are as thick as the effective field depth.

31. A system as in claim 30, wherein the effective field depth is the depth at which the amplitude of an RF signal from the antenna falls to 1/e of its value at surface of a homogeneous half space.

32. A system as in claim 1, wherein the system computing device synchronizes information from the mobile device by transmitting the current mobile device time from the mobile device to the system computing device, the system computing device responds with its current system computing device time and the time is synchronized by offsetting the difference between the current mobile device time and current system computing device time in milliseconds.

33. The system as in claim 1, further comprising an additional ticket validation, wherein there must be the additional ticket validation, the mobile device must contain a valid ticket and the system computing device must determine the estimated location of the mobile device to be within a predetermined area for mechanical gate to go to the open position.

34. The system as in claim 33, wherein the additional ticket validation is selected from the group consisting of biometric data, visual validation, fingerprint scanning, sound sampling, facial recognition, a light beam, Bluetooth LE, wireless proximity analysis, GPS, geo-fencing, automated license plate reading, fingerprint scanning, facial recognition, unique alphanumeric ID entry via a keyboard, numeric keypad.

35. A system as in claim 1, wherein the mobile device is determined to contain a valid ticket by having a stored ticket token that is transmitted to the system computing device.