IP Library Granted Patent US 10,402,887
Granted Patent B2
US 10,402,887 · App. 15/400,675 · Granted Sep 3, 2019

Systems and methods of product interaction recognition using sensors within a tag

Inventors: Mohammad Mohiuddin (Boynton Beach, FL); Hubert A. Patterson (Boca Raton, FL); Melwyn F. Sequeira (Plantation, FL)
Assignee: Tyco Fire & Security GmbH
G06Q30/0631G06K1/00G06Q10/00G06Q10/087G07C9/00G08B13/2402G08B13/248G08B13/2451G08B13/2462G08B13/2465
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Quick Facts
Patent No.
US 10,402,887
App. No.
15/400,675
Granted
Sep 3, 2019
Kind
B2
Abstract

Systems and methods for managing inventory. The methods comprise: generating sensor data by an Electronic Smart Tag (“EST”); processing, by the EST or a computing device remote from the EST, the sensor data to transform the same into information specifying at least one of a first person's intention with regard to an item to which the EST is coupled and the first person's interest in the item; generating a notification or a recommendation relating to inventory management, based on at least one of the first person's intention with regard to the item and the first person's interest in the item; and providing the notification or recommendation to a second person.

Claims (33)

1. A method for managing inventory, comprising:

generating sensor data indicating at least one measured physical property by an internal sensor device of an Electronic Smart Tag (“EST”);

processing, by the EST or a computing device remote from the EST, the sensor data to transform the same into information specifying at least one of a first person's intention with regard to an item to which the EST is coupled and the first person's interest in the item;

generating a recommendation relating to inventory management, based on the information specifying at least one of the first person's intention with regard to the item and the first person's interest in the item, where

the recommendation is for improving (a) the item's packaging, (b) a characteristic of the item or (c) the item's display location within a facility; and

providing the recommendation to a second person.

2. The method according to claim 1 , wherein the sensor data specifies at least one of the EST's movement and audio content of the surrounding environment.

3. The method according to claim 2 , wherein the audio content comprises at least one of speech and sound.

4. The method according to claim 1 , wherein the sensor data comprises a surrounding environment's characteristic.

5. The method according to claim 1 , wherein the first person is a customer and the second person is an employee.

6. The method according to claim 1 , wherein the first person's intention comprises purchasing.

7. A Electronic Smart Tag (“EST”) couplable to an inventory item, comprising:

at least one sensor device generating sensor data indicating at least one measured physical property;

a processor;

a non-transitory computer-readable storage medium comprising programming instructions that are configured to cause the processor to implement a method for inventory management, wherein the programming instructions comprise instructions to:

process the sensor data to transform the same into information specifying at least one of a first person's intention with regard to the inventory item to which the EST is coupled and the first person's interest in the inventory item;

cause a recommendation relating to inventory management to be generated based on the information specifying at least one of the first person's intention with regard to the inventory item and the first person's interest in the inventory item; and

cause the recommendation to be provided to a second person;

wherein the recommendation is for improving the item's packaging, a characteristic of the item or the item's display location within a facility.

8. The EST according to claim 7 , wherein the sensor data specifies at least one of the EST's movement and audio content of the surrounding environment.

9. A system, comprising:

an Electronic Smart Tag (“EST”) coupled to an inventory item and comprising at least one internal sensor device configured to generate sensor data indicating at least one measured physical property; and

a computing device remote from the EST that has a non-transitory computer-readable storage medium comprising programming instructions that are configured to cause the computing device to implement a method for inventory management, wherein the programming instructions comprise instructions to:

obtain the sensor data from the EST;

process the sensor data to transform the same into information specifying at least one of a first person's intention with regard to an item to which the EST is coupled and the first person's interest in the item;

generate a recommendation relating to inventory management, based on the information specifying at least one of the first person's intention with regard to the item and the first person's interest in the item; and

cause a provision of the recommendation to a second person;

wherein the recommendation is for improving the item's packaging, a characteristic of the item or the item's display location within a facility.

10. The system according to claim 9 , wherein the sensor data specifies at least one of the EST's movement and audio content of the surrounding environment.

11. The system according to claim 10 , wherein the audio content comprises at least one of speech and sound.

12. The system according to claim 9 , wherein the sensor data comprising a surrounding environment's characteristic.

13. The system according to claim 9 , wherein the first person is a customer and the second person is an employee.

14. The system according to claim 9 , wherein the first person's intention comprises purchasing.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded Jan 29, 2024
From: TYCO FIRE & SECURITY GMBH
To: SENSORMATIC ELECTRONICS, LLC
Reel/Frame 066271/0678 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 29, 2017
From: MOHIUDDIN, MOHAMMAD; PATTERSON, HUBERT A.; SEQUEIRA, MELWYN F.
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 042867/0777 →
Continuity (1)
Related Publication 20180197225A1 · Jul 12, 2018