High value information alert and reporting system and method

• US 9,959,505 B1
• Filed: 10/26/2016
• Issued: 05/01/2018
• Est. Priority Date: 02/08/2013
• Status: Active Grant

• Current Assignee: Marko Milakovich
• Original Assignee: Marko Milakovich
• Inventors: Milakovich, Marko
• Primary Examiner(s): CHEN, ALAN S
• Application Number:
  US15/334,973
• Time in Patent Office: 552 Days
• Field of Search: None
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G08B 21/22 responsive to presence or absence of persons
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data
• CPC Class Codes: H04H 20/59 for emergency or urgency
• CPC Class Codes: H04H 60/42 for identifying broadcast areas
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04H 60/52 of users
• CPC Class Codes: H04H 60/68 Systems specially adapted for using specific information, e.g. geographical or meteorological information
• CPC Class Codes: H04H 60/94 Telephonic networks for accessing the Internet H04H60/84
• CPC Class Codes: H04N 21/25841 involving the geographical location of the client retrieval from the Internet by querying based on geographical locations G06F16/9537; arrangements for identifying locations of receiving stations in broadcast systems H04H60/51; location of the user terminal in data switching networks H04L67/52; services making use of the location of users or terminals in wireless networks H04W4/02; locating users or terminals in wireless networks H04W64/00
• CPC Class Codes: H04N 21/26208 the scheduling operation being performed under constraints
• CPC Class Codes: H04N 21/26258 for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list retrieval of multimedia data based on playlists G06F16/40
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/41415 involving a public display, viewable by several users in a public space outside their home, e.g. movie theatre, information kiosk

Abstract

High value information Alert and Reporting System (HARS) and method to integrate the public into the law enforcement process by providing information on specific wanted persons/person-of-interest to a diverse range of information display devices specifically selected to display the information to the public. Wanted persons/persons-of-interest are profiled by behavior and acquaintances and predictive behavior algorithms and social media and social communication links and networks are used to predict locations and venues where there is a higher likelihood the person can be found and providing that information to the public. Public observations on the wanted person can be reported to HARS, which notifies the Law Enforcement Agency (LEA) for investigation and apprehension. HARS can provide public service information to the public in the precise area the information is needed and can also provide commercial advertising information to selected target areas.

Claims

1. A high value information alert and reporting system for predicting locations of specific wanted persons and persons of interest to the public through selected display monitors, comprising:

an interactive computer system with a single centralized database;

a communication medium for acquiring information on selected wanted persons and persons-of-interest, crimes and public service information;

monitors associated with a display group for disseminating information to the public on the selected wanted persons and the persons of interest, the display group selected from one of at least a geographical location, a venue, a display type and a display audience;

a predictive association algorithm to compile association information to generate a dynamic group association of individuals with a relationship to the wanted persons and the persons of interest;

a profiling algorithm executable on the computer system for profiling the wanted persons and the persons of interest based on the acquired information and the association information to predict locations and whereabouts of the profiled wanted persons and the profiled persons of interest;

a target instruction for generating behavioral profiles of the profiled wanted persons and the profiled persons of interest;

a distribution instruction for distributing the target instruction to the public by at least one of the monitors; and

an input interface adapted to allow the public to report location and whereabout information on details of the profiled wanted persons and the profiled persons of interest.

2. The system of claim 1, further comprising:

an investigator for investigating predicted physical locations of the profiled wanted persons and the profiled persons of interest by law enforcement in order to aid law enforcement investigation and apprehension of the profiled persons.

3. The system of claim 1, the interactive computer system further comprising:

a target information delivery system for distributing the target information to the public, in public places, so the public helps locate the profiled wanted persons and the profiled persons of interest.

4. The system of claim 3, wherein the target information delivery system comprises:

a public announcement devices for displaying the target information to the public within range of a public announcement device; and

a distribution algorithm for dynamically determining type of information distributed to the public announcement device to provide the wanted information to the public information device in a location where there is an increased likelihood the profiled wanted persons and the profiled persons of interest are located, and where public information is needed.

5. The system of claim 1, further comprising:

a playlist algorithm to create a playlist of the profiled wanted persons and the profiled persons of interest, and additional information, which are matched to a location where the profiled wanted persons and the profiled persons of interest are be located, and where the public service information is needed.

6. The system of claim 1, further comprising:

a social network communication link for the public to report sightings and association data of the profiled wanted persons and the profiled persons of interest through the input interface.

7. The system of claim 6, wherein the social network communication link includes one or more of traditional and cellular telephone phone calls, video phone calls, social networking messaging, text messaging, short messaging, emails, hot lines, and data lines.

8. The system of claim 1, further comprising:

key-word search and detection in social media networks to identify specific locations and community of interests for the distribution of information on the profiled wanted persons and the profiled persons of interest.

9. The system of claim 1, further comprising:

social media analytics which includes social media listening, social media monitoring, and social media intelligence, to gather data from digital media information and processing the data into structured insights leading to improved information-driven decisions for targeted HARS information distribution.

10. The system of claim 1 further comprising:

a predictive behavior algorithm to determine one or more likely locations where the profiled wanted persons and the profiled persons of interest are located based on the information provided by the public, wherein the predictive association algorithm determines which friends, relatives, and acquaintances in the group association the specific wanted persons or the persons of interest are most likely to contact.

11. The system of claim 1, further comprising:

a predictive behavioral analytic algorithm for collecting behavioral data specific to the target person or person of interest and predicting one or more locations the wanted persons or the persons of interest are likely to visit based on the collected behavior data, wherein the predictive behavioral analytic algorithm collects and uses information corresponding the wanted persons or the persons of interest likes and dislikes and past reactions to different circumstances for predicting the one or more locations the wanted persons or the persons of interest are likely to visit.

12. The system of claim 1, further comprising:

a law enforcement agency secure communication link for exchanging information on the wanted persons or the persons of interest with other Law Enforcement Agency (LEA) databases for mutual support of law enforcement objectives.

13. A method of predicting locations of specific wanted persons and persons of interest to the public through selected display monitors, with a high value information alert and reporting system for, comprising the steps of:

providing an interactive computer system with a single centralized database;

acquiring information on selected wanted persons and persons-of-interest, crimes and public service information through a communication medium;

disseminating information to the public on the selected wanted persons and the persons of interest, through monitors associated with a display group, the information being selected from one of at least a geographical location, a venue, a display type and a display audience;

providing a predictive association algorithm to compile association information to generate a dynamic group association of individuals with a relationship to the wanted persons and the persons of interest;

providing a profiling algorithm executable on the computer system for profiling the wanted persons and the persons of interest based on the acquired information and the association information to predict locations and whereabouts of the profiled wanted persons and the profiled persons of interest;

generating behavioral profiles of the profiled wanted persons and the profiled persons of interest by a target instruction;

distributing the target instruction to the public by at least one of the monitors by a distribution instruction; and

allowing the public to report location and whereabout information on details of the profiled wanted persons and the profiled persons of interest through an input interface.

14. The method of claim 13, further comprising the step of:

providing a social network communication link for the public to report sightings and association data of the profiled wanted persons and the profiled persons of interest through the input interface.

15. The method of claim 14, further comprising the step of:

providing one or more of traditional and cellular telephone phone calls, video phone calls, social networking messaging, text messaging, short messaging, emails, hot lines, and data lines, as the social network communication link.

16. The method of claim 13, further comprising the step of:

providing a predictive behavior algorithm to determine one or more likely locations where the profiled wanted persons and the profiled persons of interest are located based on the information provided by the public; and

determining which friends, relatives, and acquaintances in the group association the specific the wanted persons or the persons of interest are most likely to contact.

17. The method of claim 13, further comprising the step of:

providing a predictive behavioral analytic algorithm for collecting behavioral data specific to the target person or person of interest and predicting one or more locations the specific wanted persons or the persons of interest are likely to visit based on the collected behavior data.

18. The method of claim 16, wherein the step of providing the predictive behavioral analytic algorithm includes the step of:

collecting and using information corresponding the wanted persons or the persons of interest likes and dislikes and past reactions to different circumstances for predicting the one or more locations the specific wanted persons or the persons of interest are likely to visit.

19. The method of claim 13, further comprising the step of:

providing key-word search and detection in social media networks to identify specific locations and community of interests for the distribution of information on the profiled wanted persons and the profiled persons of interest.

20. The method of claim 13, further comprising the step of:

providing social media analytics which includes social media listening, social media monitoring, and social media intelligence, to gather data from digital media information and processing the data into structured insights leading to improved information-driven decisions for targeted HARS information distribution.