System for monitoring marine vessels providing expected passenger determination features and related methods

• US 10,200,113 B2
• Filed: 01/17/2017
• Issued: 02/05/2019
• Est. Priority Date: 01/17/2017
• Status: Active Grant

• Current Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: Delay, John L., Ingersoll, Mark A., Fox, Kevin L., Rahmes, Mark D., Farrell, John T., Mottarella, David A.
• Primary Examiner(s): Soofi, Yazan A
• Application Number:
  US15/407,410
• Publication Number:
  US 20180205444A1
• Time in Patent Office: 749 Days
• Field of Search: 701 21
• CPC Class Codes: G01S 19/46 the supplementary measurement being of a radio-wave signal type
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G08G 3/02 Anti-collision systems
• CPC Class Codes: H04B 7/1851 Systems using a satellite or space-based relay H04B7/18508, H04B7/18521 take precedence; providing specific services H04B7/18523 - H04B7/18576
• CPC Class Codes: H04L 67/306 User profiles

Abstract

A system for monitoring marine vessels using a satellite network may include a plurality of satellite payloads to be carried by respective satellites. Each satellite payload may include a communications interface configured to communicate via the satellite network, a radio frequency (RF) transceiver configured to communicate with the plurality of marine vessels, and a controller cooperating with the communications interface and the RF transceiver. The controller may be configured to obtain automatic identification system (AIS) data including vessel position and call sign information via the RF transceiver, and communicate the AIS system data via the communications interface. The system may further include a terrestrial station configured to receive the AIS system data, receive social media data, and determine expected passenger lists for the marine vessels based upon the AIS data and social media data.

Claims

1. A system for monitoring a plurality of marine vessels using a satellite network, the system comprising:

a plurality of satellite payloads to be carried by respective satellites, each satellite payload comprising

a communications interface configured to communicate via the satellite network,

a radio frequency (RF) transceiver configured to communicate with the plurality of marine vessels, and

a controller cooperating with the communications interface and the RF transceiver to

obtain automatic identification system (AIS) data including vessel position and call sign information via the RF transceiver, and

communicate the AIS system data via the communications interface; and

a terrestrial station configured to

receive the AIS system data,

receive social media data,

determine expected passenger lists for the marine vessels based upon the AIS data and social media data, and

compare each expected passenger list with a corresponding passenger manifest for each marine vessel to determine any unlisted passengers.

2. The system of claim 1 wherein the social media data comprises social media profiles;

and wherein the terrestrial station is configured to determine the expected passenger lists based upon location metadata from social media profiles having an association with respective marine vessels.

3. The system of claim 2 wherein the terrestrial station is configured to search the social media profiles for associations with respective marine vessels based upon natural language processing (NLP).

4. The system of claim 1 wherein the terrestrial station is configured to determine the expected passenger list based upon a genetic linear optimization (GLO) algorithm.

5. The system of claim 1 wherein the terrestrial station is further configured to run image analytics on the social media data to extract facial images to incorporate with the expected passenger lists.

6. The system of claim 5 wherein the terrestrial station is further configured to compare the extracted facial images to a facial image database.

7. A terrestrial station comprising:

a processor and a memory cooperating therewith to

receive respective automatic identification system (AIS) data including vessel position and call sign information for a plurality of marine vessels from a plurality of satellites receiving the AIS data from the marine vessels,

receive social media data,

determine expected passenger lists for the marine vessels based upon the AIS data and social media data, and

compare each expected passenger list with a corresponding passenger manifest for each marine vessel to determine any unlisted passengers.

8. The terrestrial station of claim 7 wherein the social media data comprises social media profiles;

and wherein the processor is configured to determine the expected passenger lists based upon location metadata from social media profiles having an association with respective marine vessels.

9. The terrestrial station of claim 8 wherein the processor is configured to search the social media profiles for associations with respective marine vessels based upon natural language processing (NLP).

10. The terrestrial station of claim 7 wherein the processor is configured to determine the expected passenger list based upon a genetic linear optimization (GLO) algorithm.

11. The terrestrial station of claim 7 wherein the processor is further configured to run image analytics on the social media data to extract facial images to incorporate with the expected passenger lists.

12. The terrestrial station of claim 11 wherein the processor is further configured to compare the extracted facial images to a facial image database.

13. A marine vessel monitoring method comprising:

receiving, at a terrestrial station, respective automatic identification system (AIS) data including vessel position and call sign information for a plurality of marine vessels from a plurality of satellites receiving the AIS data from the marine vessels;

receiving, at the terrestrial station, social media data;

determining, at the terrestrial station, expected passenger lists for the marine vessels based upon the AIS data and social media data; and

compare each expected passenger list with a corresponding passenger manifest for each marine vessel to determine any unlisted passengers.

14. The method of claim 13 wherein the social media data comprises social media profiles;

and wherein determining comprises determining the expected passenger lists based upon location metadata from social media profiles having an association with respective marine vessels.

15. The method of claim 14 further comprising, at the terrestrial station, searching the social media profiles for associations with respective marine vessels based upon natural language processing (NLP).

16. The method of claim 13 wherein determining comprises determining the expected passenger list based upon a genetic linear optimization (GLO) algorithm.

17. The method of claim 13 further comprising, at the terrestrial station, running image analytics on the social media data to extract facial images to incorporate with the expected passenger lists.