Systems and methods for automated cloud-based analytics for security and/or surveillance

• US 9,403,277 B2
• Filed: 10/14/2015
• Issued: 08/02/2016
• Est. Priority Date: 04/10/2014
• Status: Active Grant

• Current Assignee: Tyco Fire & Security GmbH (Johnson Controls International plc)
• Original Assignee: Smartvue Corp. (Johnson Controls International plc)
• Inventors: Renkis, Martin A.
• Primary Examiner(s): Jen, Ian
• Application Number:
  US14/882,896
• Publication Number:
  US 20160075027A1
• Time in Patent Office: 293 Days
• US Class Current: 1/1
• CPC Class Codes: B25J 9/1679 characterised by the tasks executed
• CPC Class Codes: G05D 1/021 specially adapted to land vehicles
• CPC Class Codes: G06T 19/003 Navigation within 3D models or images
• CPC Class Codes: G06V 10/95 structured as a network, e.g. client-server architectures
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G08B 13/00 Burglar, theft or intruder alarms
• CPC Class Codes: G08B 13/19656 Network used to communicate with a camera, e.g. WAN, LAN, Internet
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04N 13/239 using two 2D image sensors having a relative position equal to or related to the interocular distance H04N13/243 takes precedence
• CPC Class Codes: H04N 13/275 from 3D object models, e.g. computer-generated stereoscopic image signals
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources
• CPC Class Codes: Y10S 901/01 Mobile robot
• CPC Class Codes: Y10S 901/47 : Optical
• CPC Class Codes: Y10S 901/50 : Miscellaneous

Abstract

Systems and methods for cloud-based surveillance are disclosed. At least one mobile Input Capture Device (ICD) and the at least one computing device are communicatively connected to the cloud-based analytics platform. The at least one mobile ICD captures and transmits input data to the cloud-based analytics platform. The cloud-based analytics platform processes and analyzes input data from the at least one mobile ICD; and generates commands and updates to the at least one mobile ICD based on the processing and analyzing of the input data. Authorized users are operable to access to the cloud-based analytics platform via a user interface over the at least one computing device.

Claims

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

at least one mobile input capture device (ICD); and

a cloud-based analytics platform;

wherein the at least one mobile ICD is communicatively connected to the cloud-based analytics platform;

wherein the at least one mobile ICD is configured to capture and transmit input data to the cloud-based analytics platform;

wherein the cloud-based analytics platform is operable to process and analyze input data from the at least one mobile ICD; and

generate commands and updates to the at least one mobile ICD based on the processing and analyzing of the input data;

wherein the cloud-based analytics platform is accessible via an associated user interface over network by authorized users.

2. The system of claim 1, wherein the cloud-based analytics platform is operable to provide a profile to the target surveillance area.

3. The system of claim 1, wherein the at least one mobile ICD is at least one mobile robot, wherein the at least one mobile robot is configured to carry out predetermined surveillance tasks.

4. The system of claim 3, wherein the at least one mobile robot includes a computing component;

wherein a customized program application associated with the cloud-based analytics platform is installed on the computing component.

5. The system of claim 4, wherein the computing component is further operable to filter, sample, prioritize, and encode the captured input data into a secure message;

wherein the secure message is transmitted via internet protocol.

6. The system of claim 3, wherein each of the at least one mobile robot is operable to communicate with neighboring mobile robots within a cloud-based surveillance system.

7. The system of claim 3, wherein the at least one mobile robot further includes a drive system, a sensing system, and a controller system.

8. The system of claim 7, wherein the sensing system comprises a visual module, at least one sensor module, and an intelligence recognition module.

9. The system of claim 8, wherein the at least one sensor module is operable for detecting noise, temperature, humidity, air quality, light intensity, and/or motion.

10. The system of claim 8, wherein the intelligence recognition module comprises facial recognition, identity card recognition, and/or speech recognition.

11. The system of claim 1, wherein the cloud-based analytics platform is operable to provide data storage.

12. The system of claim 1, wherein the processing and analyzing of the input data is in real time or near real time.

13. The system of claim 1, wherein the commands and updates are operable to reconfigure the at least one mobile ICD.

14. The system of claim 1, wherein inputs from authorized users can override the commands and updates.

15. A method for cloud-based surveillance, comprising:

providing a cloud-based surveillance system comprising at least one mobile ICD, and a cloud-based analytics platform;

wherein the at least one mobile ICD is communicatively connected to the cloud-based analytics platform;

wherein the cloud-based analytics platform is accessible via an associated user interface over network by authorized users;

the at least one mobile ICD capturing and transmitting input data to the cloud-based analytics platform;

the cloud-based analytics platform processing and analyzing the input data from the at least one mobile ICD;

the cloud-based analytics platform generating commands and updates to the at least one mobile ICD based on the processing and analyzing of the input data.

16. The method of claim 15, further comprising the at least one mobile ICD performing local decision-making functions based on the captured input data.

17. The method of claim 15, further comprising the at least one mobile ICD communicating with neighboring mobile robots within the cloud-based surveillance system.

18. The method of claim 15, further comprising the at least one mobile ICD executing the commands from the cloud-based analytics platform.

19. The method of claim 15, further comprising the cloud-based analytics platform reconfiguring the at least one mobile ICD based on the generated updates.

20. The method of claim 15, further comprising overriding the commands and updates from the cloud-based analytics platform by inputs from authorizing users via the associated user interface.