# US 11,113,937 B2 · Theft prediction and tracking system

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- Number: US 11,113,937 B2
- Document ID: US11113937B2
- Status: Granted
- Kind: B2
- Application number: 15/445,355
- Filed: 2017-02-28
- Published: 2017-09-07
- Granted: 2021-09-07
- Earliest claimed: 2016-03-01
- Applicants: James Carey
- Inventors: James Carey
- Web page: https://patentgrep.com/patent/US11113937B2

## CPC

- G08B 13/19613: {Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion}
- G08B 13/00: Burglar, theft or intruder alarms
- G08B 13/246: {Check out systems combined with EAS, e.g. price information stored on EAS tag (anti-theft systems in point of sale systems G07G3/003)}
- G08B 13/248: {EAS system combined with another detection technology, e.g. dual EAS and video or other presence detection system}
- G08B 29/188: {Data fusion; cooperative systems, e.g. voting among different detectors}
- G08B 31/00: Predictive alarm systems characterised by extrapolation or other computation using updated historic data
- G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS

## Abstract

Systems and methods for detecting potential theft and identifying individuals having a history of committing theft are presented. An electromagnetic emission associated with a personal electronic device associated with an individual is received. One or more signal properties of the electromagnetic emission are analyzed to determine an emission signature. Video data and video analytics are utilized to determine whether an individual has taken possession of an item. The video analytics are correlated with the emission signature in an attempt to identify the individual having possession of the item. The emission signature and video data are stored for later use during a checkout procedure. If an emission signature detected at a checkout station matches that of the individual having possession of the item, and the item is not processed through the checkout station, an alert is issued and the individual is flagged as a potential shoplifter.

## Claims

### Claim 1

A method of theft prediction and tracking, comprising:
collecting an electromagnetic signal associated with an individual based on a plurality of RF emission detectors, each of the plurality of RF emission detectors including a respective location relative to the individual;
determining a location of a source of the electromagnetic signal associated with the individual based on the respective locations of each of the plurality of RF emission detectors relative to the individual;
obtaining video data including a video frame of the individual;
analyzing the video data to determine whether the individual has taken possession of an item including an item identifier;
identifying the individual using triangulation enabled by the RF emission detectors in a vicinity of the video frame; and
issuing an alert including identity of the individual.

### Claim 2 (depends on 1)

The method in accordance with claim 1, further comprising:
assigning an individual identifier to the individual; and
storing the item identifier in association with the individual identifier in response to a determination that the individual has taken possession of the item.

### Claim 3 (depends on 2)

The method in accordance with claim 2, further comprising:
establishing a list of one or more entitled item identifiers corresponding to items to which the individual is entitled; and
issuing an alert in response to a determination that the stored item identifier is not within the list of one or more entitled item identifiers.

### Claim 4 (depends on 3)

The method in accordance with claim 3, further comprising:
associating the individual with undesirable activity in response to a determination that the stored item identifier is not within the list of one or more entitled item identifiers.

### Claim 5 (depends on 1)

The method in accordance with claim 1, further comprising:
storing a timestamp indicative of time of collection of the electromagnetic signal associated with the individual.

### Claim 6 (depends on 4)

The method in accordance with claim 4, further comprising:
storing indicia of the undesirable activity on an electronic device associated with the individual.

### Claim 7 (depends on 1)

The method in accordance with claim 1, further comprising:
recording an image of the individual.

### Claim 8 (depends on 7)

The method in accordance with claim 7, wherein issuing an alert includes displaying the recorded image of the individual.

### Claim 9

A theft prediction and tracking system, comprising:
at least one RF emission detector;
at least one video camera configured to obtain video data of an individual;
a processor operatively coupled to the at least one RF emission detector and the at least one video camera;
a database operatively coupled to the processor; and
a computer-readable storage medium operatively coupled to the processor including instructions, which, when executed by the processor, cause the processor to:
receive, from the at least one RF emission detector, at least one emissions signature from a personal electronic device associated with an individual;
determine a physical location of a source of an electromagnetic signal associated with the individual;
analyze the video data to determine whether the individual has taken possession of an item associated with an item identifier;
identify the individual using triangulation enabled by the RF emission detectors in a vicinity of the video frame; and
issue an alert including identity of the individual.

### Claim 10 (depends on 9)

The theft prediction and tracking system in accordance with claim 9, wherein the video data includes metadata indicating that the individual has taken possession of an item having an item identifier.

### Claim 11 (depends on 10)

The theft prediction and tracking system in accordance with claim 10, further comprising a checkout station operatively coupled to the processor.

### Claim 12 (depends on 11)

The theft prediction and tracking system in accordance with claim 11, wherein the computer-readable storage medium further includes instructions, which, when executed by the processor, cause the processor to:
receive, from the checkout station, entitlement data including item identifiers relating to one or more items to which the individual is entitled;
compare the entitlement data to the item identifier of the item in possession of the individual; and
issue an alert if the item identifier of the item in possession by the individual is not included in the entitlement data.

### Claim 13 (depends on 12)

The theft prediction and tracking system in accordance with claim 12, wherein the computer-readable storage medium further includes instructions, which, when executed by the processor, cause the processor to issue an alert if an emissions signature corresponding to the identified individual is received from an RF emission detector having a physical location in proximity to an exit.

### Claim 14 (depends on 12)

The theft prediction and tracking system in accordance with claim 12, wherein the computer-readable storage medium further includes instructions, which, when executed by the processor, cause the processor to store the identity of the individual in association with a potential shoplifter flag.

### Claim 15 (depends on 14)

The theft prediction and tracking system in accordance with claim 14, wherein the computer-readable storage medium further includes instructions, which, when executed by the processor, cause the processor to:
receive, from an RF emission detector having a physical location in proximity to an entrance, an emissions signature.

### Claim 16 (depends on 9)

The theft prediction and tracking system in accordance with claim 9, further comprising a video recorder in operative communication with the processor, the video recorder configured to record video data received from the at least one video camera.

### Claim 17 (depends on 16)

The theft prediction and tracking system in accordance with claim 16, wherein the computer-readable storage medium further includes instructions, which, when executed by the processor, cause the processor to issue an alert comprising at least in part recorded video data received from the at least one video camera.
