IP Library Granted Patent US 9,420,238
Granted Patent B2
US 9,420,238 · App. 14/845,446 · Granted Aug 16, 2016

Systems and methods for automated cloud-based 3-dimensional (3D) analytics for surveillance systems

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 9,420,238
App. No.
14/845,446
Granted
Aug 16, 2016
Kind
B2
Abstract

Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

Claims (32)

1. A cloud-based surveillance system for a target surveillance area, comprising:

at least two input capture devices (ICDs), a cloud-based analytics platform having a processor and a memory, and at least one user device having a display with a user interface;

wherein the cloud-based analytics platform is constructed and configured in network-based communication with the at least two ICDs and the at least one user device;

wherein each of the at least two ICDs has at least one visual sensor and is operable to capture and transmit input data to the cloud-based analytics platform;

wherein the cloud-based analytics platform is operable to:

generate 3-Dimensional (3D) visual data based on 2-Dimensional (2D) visual data captured from the at least two ICDs;

perform 3D analytics based on the 3D visual data and captured input data;

wherein the at least one user device is operable to provide access to the cloud-based analytics platform via the user interface.

2. The system of claim 1 , wherein the at least two ICDs are operable for wireless cross-communication with each other independent of the cloud-based analytics platform to form a mesh network of ICDs, wherein the cross-communication of the at least two ICDs includes data exchange, and wherein the data exchange includes information about the surveillance environment, settings, inputs, and combinations thereof.

3. The system of claim 1 , wherein the at least two ICDs are selected from the group consisting of security cameras, smart phones, tablets, and wearable input capture devices.

4. The system of claim 1 , wherein the captured input data are selected from live streaming video, real-time images and/or audio, previously recorded video, previously captured images and/or audio, and combinations thereof.

5. The system of claim 1 , wherein the cloud-based analytics platform provides data storage.

6. The system of claim 1 , wherein the at least one user device is operable to access the cloud-based analytics platform for the target surveillance area with an authorized account via the user interface.

7. The system of claim 1 , wherein the at least one user device is selected from the group consisting of smart phones, tablets, personal computers, laptops, and head-mounted displays.

8. The system of claim 1 , wherein the at least one user device is further operable to display a visual representation of the cloud-based surveillance system.

9. The system of claim 8 , wherein the visual representation is displayed in real time or in near real time.

10. The system of claim 1 , wherein the at least one user device is further operable to receive alerts and/or messages about the target surveillance area from the cloud-based analytics platform.

11. A cloud-based surveillance method, comprising:

communicatively connecting at least two input capture devices (ICDs) and at least one user device having a display with a user interface to a cloud-based analytics platform having a processor and a memory via a communication network; wherein each of the at least two ICDs has at least one visual sensor;

each of the at least two ICDs capturing and transmitting input data to the cloud-based analytics platform;

the cloud-based analytics platform generating 3-Dimensional (3D) visual data based on 2-Dimensional (2D) visual data captured from the at least two ICDs;

the cloud-based analytics platform performing 3D analytics based on the 3D visual data;

the at least one user device displaying a visual representation of the target surveillance area and analytics results via the user interface.

12. The method of claim 11 , further comprising the at least two ICDs cross-communicating with each other independent of the cloud platform to form a mesh network of ICDs, wherein the cross-communication of the at least two ICDs includes data exchange, and wherein the data exchange includes information about the surveillance environment, settings, inputs, and combinations thereof.

13. The method of claim 11 , wherein the at least two ICDs are selected from the group consisting of security cameras, smart phones, tablets, and wearable input capture devices.

14. The method of claim 11 , wherein the captured input data are selected from live streaming video, real-time images and/or audio, previously recorded video, previously captured images and/or audio, and combinations thereof.

15. The method of claim 11 , wherein the cloud-based analytics platform provides data storage.

16. The method of claim 11 , further comprising accessing the cloud-based analytics platform for the target surveillance area with an authorized account via the user interface on the at least one user device.

17. The method of claim 11 , wherein the at least one user device is selected from the group consisting of smart phones, tablets, personal computers, laptops, and head-mounted displays.

18. The method of claim 11 , further comprising the at least one user device displaying a visual representation of the surveillance system.

19. The method of claim 18 , wherein the visual representation is displayed in real time or in near real time.

20. The method of claim 11 , further comprising the at least one user device receiving alerts and/or messages about the target surveillance area from the cloud-based analytics platform.

Assignments (10)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 23, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 068494/0384 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: JOHNSON CONTROLS, INC.
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 058955/0472 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: JOHNSON CONTROLS US HOLDINGS LLC
To: JOHNSON CONTROLS, INC.
Reel/Frame 058955/0394 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: SENSORMATIC ELECTRONICS, LLC
To: JOHNSON CONTROLS US HOLDINGS LLC
Reel/Frame 058957/0138 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2021
From: SENSORMATIC ELECTRONICS LLC
To: JOHNSON CONTROLS US HOLDINGS LLC
Reel/Frame 058600/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2021
From: JOHNSON CONTROLS US HOLDINGS LLC
To: JOHNSON CONTROLS INC
Reel/Frame 058600/0080 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2021
From: JOHNSON CONTROLS INC
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 058600/0126 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 2, 2018
From: KIP SMRT P1 LP
To: SENSORMATIC ELECTRONICS, LLC
Reel/Frame 045817/0353 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 2, 2016
From: SMARTVUE CORPORATION
To: KIP SMRT P1 LP
Reel/Frame 040817/0339 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 15, 2015
From: RENKIS, MARTIN A.
To: SMARTVUE CORPORATION
Reel/Frame 036562/0456 →