Merchandise activity sensor system and methods of using same

• US 10,037,662 B2
• Filed: 09/19/2016
• Issued: 07/31/2018
• Est. Priority Date: 09/18/2014
• Status: Active Grant

• Current Assignee: Indyme Solutions, Inc.
• Original Assignee: Indyme Solutions, Inc.
• Inventors: King, Greg, Morikawa, Derek, Baldwin, Barry, Kepner, Bill, Budano, Joe, Deal, Steve
• Primary Examiner(s): Lau, Hoi
• Application Number:
  US15/269,774
• Publication Number:
  US 20170256148A1
• Time in Patent Office: 680 Days
• Field of Search: 340542, 3405682, 3405688, 340 101, 34053913, 340 1034, 340436, 34053923, 340531, 3405391, 340522, 700278, 700300, 700302
• CPC Class Codes: G06F 16/235 Update request formulation
• CPC Class Codes: G06K 7/10297 arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092 cryptographic protocols H04L9/00; network security protocols H04L63/00; real-time communication protocols in data switching networks H04L65/00; network protocols for data switching network services H04L67/00
• CPC Class Codes: G06Q 10/0833 Tracking
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G08B 13/1427 with transmitter-receiver for distance detection
• CPC Class Codes: G08B 13/1436 with motion detection
• CPC Class Codes: G08B 13/1472 with force or weight detection
• CPC Class Codes: G08B 13/196 using television cameras
• CPC Class Codes: G08B 13/19613 Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
• CPC Class Codes: G08B 13/19695 Arrangements wherein non-video detectors start video recording or forwarding but do not generate an alarm themselves
• CPC Class Codes: G08B 25/00 Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
• CPC Class Codes: G08B 29/188 Data fusion; cooperative systems, e.g. voting among different detectors
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data

Abstract

Fitting room management and occupancy monitoring system for retail operations having fitting rooms wherein the system if capable of notifying staff of fitting room occupancy, the need for cleaning, and/or the need for customer help in real time as well as collecting and tracking data of fitting room activity according to preset business rules. The system further assists retail operations with reduction of theft incidents, improvement of conversion rates and employee compliance rates.

Claims

1. A system for correlating suspicious events with identified persons, the system comprising:

a) at least one sensor capable of detecting a direct or indirect force that is applied to an object which results in movement of that object from a state of equilibrium;

b) at least one proximity detector for identifying persons in the area associated with a), wherein the at least one proximity detector collects data of at least one type selected from the group consisting of facial recognition, cell phone MAC address, cell phone beacon, and RFID tags;

c) a microcontroller having an application capable of processing data acquired by a) and b); and

d) a wired or wireless means of communication capable of communicating the movement of the object detected by the first sensor to the microcontroller of c).

2. The system of claim 1 wherein the moving of the object in a) is detected by the at least one sensor sensing a parameter selected from the group consisting of vibration, the presence or absence of display merchandise, weight of merchandise of shelf mats, exceeding a dispense threshold and displacement of RFID signals.

3. The system of claim 2 wherein the system microcontroller analyzes the movement sensed in a) in order to determine the nature of the movement of the object as suspicious or non-suspicious.

4. The system of claim 3 wherein the determination of suspicious movement results in the logging of the event by the microcontroller as an event of interest in a database.

5. The system of claim 2 wherein detection of movement by the sensor is used together with the at least one proximity detector to identify persons in the area associated with a).

6. The system of claim 1 wherein the persons identified as being associated with suspicious activity are determined to be a person of interest.

7. The system of claim 6 wherein the person of interest is assigned a threat characterization code rank based on data collected in a) combined with any additional factors in the database also associated with the person of interest.

8. A method of correlating suspicious events with identified persons, the method comprising:

a) detecting a direct or indirect force that is applied to an object using at least one sensor wherein the force that is applied to the object results in movement of that object from a state of equilibrium;

b) identifying persons in the area associated with a) using at least one proximity detector, wherein the at least one proximity detector collects data of at least one type selected from the group consisting of facial recognition, cell phone MAC address, cell phone beacon and RFID tags;

c) processing data acquired by a) and b) using a microcontroller having an application capable thereof; and

d) communicating the movement of the object detected by the first sensor to the microcontroller of c) using a wired or wireless means of communication.

9. The method of claim 8 wherein the movement of the object in a) is detected by the at least one sensor sensing a parameter selected from the group consisting of vibration, the presence or absence of display merchandise, weight of merchandise of shelf mats, exceeding a dispense threshold and displacement of RFID signals.

10. The method of claim 9 wherein the method further comprises analyzing the movement sensed in a) in order to determine the nature of the movement of the object as suspicious or non-suspicious.

11. The method of claim 10 wherein the method further comprises logging the event by the microcontroller as an event of interest in a database.

12. The system of claim 9 wherein the method further comprises use of the at least one proximity detector to identify persons in the area associated with a) together with the sensor.

13. The system of claim 8 wherein the method further comprises logging persons identified as being associated with suspicious activity as a person of interest.

14. The system of claim 13 wherein the method further comprises assigning a threat characterization code rank to the person of interest based on data collected in a) combined with any additional factors in the database also associated with the person of interest.