IP Library Granted Patent US 11,790,760
Granted Patent B2
US 11,790,760 · App. 17/170,548 · Granted Oct 17, 2023

Modular sensing systems and methods

Inventors: Ernest C. Brown (Berkeley, CA); John A. Jarrell (Tiburon, CA)
Assignee: Navio International, Inc.
G08B25/10F21S2/005F21S8/088G05D1/0022G06V20/52G08B25/08H04L67/125H04W4/38H04W4/50H04W4/70H04W4/90F21W2131/10H04W84/18
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Quick Facts
Patent No.
US 11,790,760
App. No.
17/170,548
Granted
Oct 17, 2023
Kind
B2
Abstract

A modular approach is provided for sensing and responding to detected activity or an event in a region that can be implemented quickly and easily using existing city infrastructure to establish a grid of sensors and detectors to provide localized or wide area coverage. The approach provides a turnkey solution or smart city in a box that can be adapted to different situations and needs to provide communications functionality and/or a desired or customized functionality for a wide range of different applications.

Claims (22)

1. A modular sensing system for sensing an activity or an event in a region, the system comprising:

a base station comprising: (i) an electrical plug or receptable to releasably couple the base station to an application module, (ii) another electrical plug or receptable to releasably couple the base station to a support member and (iii) a location module to provide a location identifier; and

an application module comprising: (i) a first plurality of sensors for capturing sensory data according to a functionality for a sensing application, (ii) one or more processors programmed to aggregate the sensory data captured by the plurality of sensors and provide the respective functionality based at least in part on the sensory data, and (iii) a counterpart electrical plug or receptable to releasably mate with the electrical plug or receptacle of the base station.

2. The system of claim 1 , wherein the location module is a global positioning system (GPS).

3. The system of claim 1 , wherein the location identifier corresponds to a fixed point on the support member.

4. The system of claim 1 , wherein the location identifier is stored in a data store that is in communication with the base station.

5. The system of claim 1 , wherein the location identifier includes a latitude identifier, a longitude identifier or an elevation identifier.

6. The system of claim 1 , wherein the base station generates a message indicating that the base station is transported to a different location, and wherein the message includes the location identifier.

7. The system of claim 1 , wherein the base station further comprises a detection component and the detection component is configured to detect a motion in a vicinity of the base station, sound in a vicinity of the base station, a communications signal, or a presence of a nearby vehicle, nearby human, or nearby communications device.

8. The system of claim 1 , wherein the base station is configured to perform a communication functionality and a control functionality to control an operation of the support member.

9. The system of claim 8 , wherein the application module is configured to be upgradeable, interchanged, or removed without disrupting the communication functionality and the control functionality of the base station.

10. The system of claim 1 , wherein the application module is capable to be coupled to another application module, and wherein the another application comprises a second plurality of sensors providing a functionality for a different sensing application.

11. The system of claim 1 , wherein the application modules is configured to sense the event in the region in the vicinity of the application module.

12. The system of claim 11 , wherein the functionality is performed by applying machine learning techniques for performing one of the steps selected from the group consisting of:

aggregating and evaluating the sensory data about the event sensed, and generating a response according to the sensing application.

13. The system of claim 12 , wherein the one or more processors are configured to execute instructions to perform the machine learning techniques.

14. The system of claim 1 , wherein the support member comprises a streetlight.

15. The system of claim 1 , wherein the support member comprises a vehicle.

16. The system of claim 1 , wherein the first plurality of sensors comprise at least a camera and a motion sensor.

17. The system of claim 1 , wherein the first plurality of sensors comprise at least a weather sensor.

18. The system of claim 1 , wherein the base station comprises a measurement component.

19. The system of claim 1 , wherein the measurement component is configured to measure energy, temperature, or ambient light.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 12, 2021
From: BROWN, ERNEST C.
To: NAVIO INTERNATIONAL, INC.
Reel/Frame 055245/0322 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 8, 2021
From: BROWN, ERNEST C.; JARRELL, JOHN A.
To: BROWN, ERNEST C.
Reel/Frame 055186/0683 →
Continuity (9)
Continuation 16702305 · Dec 3, 2019
Continuation 15489526 · Apr 17, 2017
Provisional Application 62405080 · Oct 6, 2016
Provisional Application 62385181 · Sep 8, 2016
Provisional Application 62365323 · Jul 21, 2016
Provisional Application 62360335 · Jul 9, 2016
Provisional Application 62331672 · May 4, 2016
Provisional Application 62324673 · Apr 19, 2016
Related Publication 20210327255A1 · Oct 21, 2021
Cited By (3)
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