APPARATUS, SYSTEMS AND METHODS FOR ENHANCED VISUAL INSPECTION OF VEHICLE INTERIORS

• US 20170372143A1
• Filed: 05/13/2016
• Published: 12/28/2017
• Est. Priority Date: 05/14/2015
• Status: Abandoned Application

• Current Assignee: Gatekeeper, Inc. (OSI Systems Incorporated)
• Original Assignee: Gatekeeper, Inc. (OSI Systems Incorporated)
• Inventors: BARCUS, Richard, BINDON, Edward, VU, Tony
• Application Number:
  US15/524,162
• Publication Number:
  US 20170372143A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06F 16/5846 using extracted text
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06F 7/10 Selecting, i.e. obtaining data of one kind from those record carriers which are identifiable by data of a second kind from a mass of ordered or randomly- distributed record carriers
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 20/54 of traffic, e.g. cars on the road, trains or boats
• CPC Class Codes: G06V 20/59 inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• CPC Class Codes: G06V 20/62 Text, e.g. of license plates, overlay texts or captions on TV images
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles
• CPC Class Codes: G06V 2201/10 Recognition assisted with metadata
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• 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: G07C 9/253 visually
• CPC Class Codes: G08B 13/2462 Asset location systems combined with EAS inventory, tracking, logistic G06Q10/00; entrance control systems G07C9/00
• CPC Class Codes: G08B 25/08 using communication transmission lines G08B13/19658, G08B21/0286, G08B25/016 take precedence
• CPC Class Codes: G08B 5/36 : using visible light sources
• CPC Class Codes: G08G 1/0129 : for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0175 : by photographing vehicles, e.g. when violating traffic rules
• CPC Class Codes: G08G 1/04 : using optical or ultrasonic detectors
• CPC Class Codes: H04N 5/9201 : involving the multiplexing of an additional signal and the video signal
• CPC Class Codes: H04N 7/18 : Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04Q 5/22 : the subordinate centre not permitting interconnection of subscribers connected thereto

Abstract

Devices, systems, and methods enhance the inspection of internal areas and occupants of vehicles, and can employ one or more high-resolution cameras, one or more auxiliary illumination devices and a related computer system. According to various embodiments, an auxiliary illumination device can be synchronized to one or more cameras, and configured to supply auxiliary illumination to facilitate capture of accurate and usable images. Advanced image processing solutions assist with identifying individuals inside a vehicle, removing light glare and undesired reflections from a window surface, and capturing an image through a tinted window, among other things. Further, embodiments can compare a captured image to an authenticated image from a database, so as to confirm the identity of a vehicle occupant.

Claims

1. A method for controlling entry of vehicles, comprising the steps of:

providing an entry control device having a camera and an illumination device;

detecting the presence of an oncoming vehicle;

detecting a vehicle identifier associated with the oncoming vehicle;

capturing, via the camera, at least one present image of at least one individual present within the vehicle through a window of the vehicle;

obtaining at least one archived image of at least one individual previously associated with the detected vehicle identifier; and

comparing the at least one present image with the at least one archived image.

2. The method of claim 1, wherein detecting the vehicle identifier includes reading a license plate of the oncoming vehicle.

3. The method of claim 1, wherein detecting the vehicle identifier includes detecting one of:

an RFID signal associated with the oncoming vehicle, and an optically scanned barcode label.

4. The method of claim 1, wherein the step of comparing the at least one present image with the at least one archived image is performed using facial recognition programming.

5. The method of claim 1, wherein the step of comparing the at least one present image with the at least one archived image includes determining whether the at least one individual in the at least one present image is the same individual as the at least one individual from the at least one archived image.

6. The method of claim 1, further including the step of activating the illumination device when capturing the at least one present image.

7. The method of claim 6, wherein the steps of activating the illumination device and capturing the at least one present image via the camera are sequenced according to an image processing protocol.

8. The method of claim 7, wherein the image processing protocol specifies the relative timing of activating the illumination device and capturing the at least one present image.

9. The method of claim 7, wherein the image processing protocol specifies that the camera be configured to receive light in the same or similar wavelength as the auxiliary illumination device and the auxiliary illumination device be configured to emit light in the same or similar wavelengths as the camera receives the light

10. A method for establishing records for use in identifying individual occupants in a vehicle, comprising the steps of:

recording one or more images of individual occupants of at least one vehicle, wherein the one or more images are taken through a window of the at least one vehicle;

associating the recorded one or more images with at least one vehicle identifier pertaining to the at least one vehicle; and

storing the one or more images in a computer database.

11. The method of claim 10, wherein the step of recording one or more images includes illuminating at least a portion of the at least one vehicle using an illumination device, and capturing the at least one image using a camera synchronized with the illumination device.

12. The method of claim 10, including the step of categorizing the one or more images according to the vehicle year, make, model or vehicle identifier.

13. The method of claim 12, wherein the vehicle identifier is at least one of:

a license number, a readable tag.

14. A method for vehicle access control, comprising the steps of:

providing a camera having a lens facing a field of view;

providing an illumination device for illuminating the field of view;

providing an image processing component for synchronizing the activation of the illumination device with activation of the camera so as to record, by the camera, at least one image of a vehicle occupant through a window of a vehicle.

15. The method of claim 14, including the steps of:

detecting a vehicle identifier associated with the vehicle;

obtaining at least one archived image of at least one individual previously associated with the detected vehicle identifier; and

comparing the at least one present image with the at least one archived image.

16. The method of claim 15, wherein detecting the vehicle identifier includes reading a license plate of the oncoming vehicle.

17. The method of claim 15, wherein detecting the vehicle identifier includes detecting one of:

an RFID signal associated with the oncoming vehicle, and an optically scanned barcode label.

18. The method of claim 15, wherein the step of comparing the at least one present image with the at least one archived image is performed using facial recognition programming.

19. The method of claim 15, wherein the step of comparing the at least one present image with the at least one archived image indicates whether the at least one individual in the at least one present image is the same individual as the at least one individual from the at least one archived image.

20. An entry control system, comprising:

a camera having a lens facing a field of view;

an illumination device for illuminating the field of view;

at least one data storage device operable to store one or more images of at least one vehicle occupant and at least one vehicle identifier;

at least one computer processor operable to execute computer-readable instructions to associate the one or more images of at least one vehicle occupant with at least one vehicle identifier, and to retrieve the one or more images upon detection of a vehicle in the field of view of the camera, wherein the detected vehicle has a present vehicle identifier matching at least one vehicle identifier stored in the at least one data storage device.

21. The system of claim 20, wherein the camera is operable to capture at least one present image of a vehicle occupant in the detected vehicle, and wherein the at least one processor is further operable to execute computer-readable instructions to compare the at least one present image with the retrieved one or more images.

22. The system of claim 20, wherein the at least one vehicle identifier is a license plate number.

23. The system of claim 20, wherein the at least one vehicle identifier is a readable tag.

24. The system of claim 21, wherein the computer-readable instructions to compare the at least one present image with the retrieved one or more images includes facial recognition programming.

25. The system of claim 21, wherein the at least one processor is further operable to execute computer-readable instructions to determine whether the vehicle occupant in the at least one present image is the same individual as the at least one occupant from the one or more retrieved images.

26. The system of claim 20, wherein the at least one processor is operable to execute computer-readable instructions to activate the illumination device and capture the at least one present image via the camera in a sequenced manner according to an image processing protocol.

27. The system of claim 26, wherein the image processing protocol specifies the relative timing of activating the illumination device and capturing the at least one present image.

28. The system of claim 26, wherein the image processing protocol specifies that the camera and auxiliary illumination device be configured to emit light in the same or similar wavelengths.

29. The system of claim 20, wherein the at least one computer processor is operable to identify, verify, search and authenticate vehicles and occupants crossing a controlled barrier, including:

detecting the presence of an oncoming vehicle;

detecting a vehicle identifier associated with the oncoming vehicle;

capturing an undercarriage image of the vehicle;

comparing the at least one present undercarriage image with at least one archived image;

identifying any differences between the compared under vehicle images;

archiving the at least one present undercarriage image in a database for future use;

capturing, via the camera, at least one present occupant image of at least one individual present within the vehicle through a window of the vehicle;

obtaining at least one archived occupant image of at least one individual previously associated with the detected vehicle identifier;

comparing the at least one present occupant image with the at least one archived occupant image;

presenting the present occupant image and the archived occupant image on a display; and

presenting the results of an automatic comparison of the present occupant image and the archived occupant image using facial recognition software.