IP Library Patent Application 18902407
Patent Application
App. No. 18/902,407

SYSTEMS AND METHODS FOR NETWORKED OCCUPANCY PREDICTION

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Quick Facts
Patent No.
US None
App. No.
18/902,407
Abstract

A system for networked occupancy detection and prediction is disclosed. The system may include two or more modular control units configured to be communicatively coupled to each other, each modular control unit configured to define a detection zone and control power to at least one load device, which may include a device control assembly configured to be removably coupled to a backplate. The device control assembly may include an occupancy sensor configured to detect a current occupancy state of a detection zone. The device control assembly may be configured to determine occupancy routines based on historical occupancy states of the detection zone and to predict future occupancy states. The device control assembly may be configured to control the power to the at least one load device based on the predicted future occupancy states.

Claims (41)

1 . A system for networked occupancy detection and prediction comprising:

two or more modular control units configured to be communicatively coupled to each other, each modular control unit configured to define a detection zone of two or more detection zones and control power to at least one load device, each modular control unit comprising:

a backplate comprising a recess that includes a set of backplate electrical contacts;

a contact element configured to receive the power; and

at least one device control assembly configured to be removably coupled to the backplate, the at least one device control assembly comprising a set of device control assembly electrical contacts configured to electrically couple with the set of backplate electrical contacts of the backplate when the at least one device control assembly is coupled to the backplate and configured to electrically decouple from the set of backplate electrical contacts when the at least one device control assembly is decoupled from the backplate, wherein the at least one device control assembly comprises:

an occupancy sensor configured to detect a current occupancy state of the detection zone associated with the each modular control unit, wherein the current occupancy state comprises at least one of being occupied by one or more occupants or being vacant of occupants,

wherein the at least one device control assembly is configured to determine occupancy routines based on historical occupancy states of the detection zone and is further configured to predict future occupancy states of the detection zone based on the occupancy routines and current occupancy states of the detection zone,

wherein the at least one device control assembly is configured to control the power to the at least one load device through electrical wiring connected to the backplate based on the predicted future occupancy states.

2 . The system of claim 1 , wherein the current occupancy state comprises an action of the one or more occupants.

3 . The system of claim 2 , wherein a first modular control unit is configured to predict a future detection zone of the one or more occupants based on the action of the one or more occupants, wherein the future detection zone is defined by a different modular control unit than the first modular control unit.

4 . The system of claim 2 , wherein the action of the one or more occupants is determined based on networked data combined from at least two of the two or more modular control units.

5 . The system of claim 2 , wherein the action of the one or more occupants comprises:

at least one of entering a field of view of the occupancy sensor, moving through the field of view, remaining stationary within the field of view, or exiting the field of view.

6 . The system of claim 3 , wherein the action of the one or more occupants comprises:

a direction and a speed of the one or more occupants.

7 . The system of claim 2 , wherein the current occupancy state includes a position of the one or more occupants within a field of view of the occupancy sensor.

8 . The system of claim 2 , wherein the action of the one or more occupants comprises:

at least one of a waving of one or more arms, a waving of one or more hands, a falling down, a laying down, or a sleeping.

9 . The system of claim 2 , wherein the predicting the future occupancy states comprises:

predicting the future occupancy states based on the current occupancy states and the occupancy routines using a recursive bayesian estimation.

10 . A system for networked occupancy detection and prediction comprising:

two or more modular control units configured to be communicatively coupled to each other, each modular control unit configured to define a detection zone of two or more detections zones and control power to at least one load device, each modular control unit comprising:

a backplate comprising a recess that includes a set of backplate electrical contacts;

a contact element configured to receive the power; and

at least one device control assembly configured to be removably coupled to the backplate, the at least one device control assembly comprising a set of device control assembly electrical contacts configured to electrically couple with the set of backplate electrical contacts of the backplate when the at least one device control assembly is coupled to the backplate and configured to electrically decouple from the set of backplate electrical contacts when the at least one device control assembly is decoupled from the backplate, wherein the at least one device control assembly comprises:

an occupancy sensor configured to detect a current occupancy state of the detection zone associated with the each modular control unit, wherein the current occupancy state comprises at least one of being occupied by one or more occupants or being vacant of occupants,

wherein the at least one device control assembly is further configured to control the power to the at least one load device based on the current occupancy state of the detection zone.

11 . The system of claim 10 , wherein the at least one device control assembly is further configured to determine occupancy routines based on historical occupancy states of the detection zone and are further configured to predict future occupancy states of the detection zone based on the occupancy routines and current occupancy states of the detection zone.

12 . The system of claim 11 , wherein the at least one device control assembly is further configured to control power to at least one load device based on the occupancy state of one or more detection zones and the predicted occupancy state of the detection zone.

13 . The system of claim 11 , wherein the current occupancy state comprises an action of the one or more occupants.

14 . The system of claim 13 , wherein a first modular control unit is configured to predict a future detection zone of the one or more occupants based on the action of the one or more occupants, wherein the future detection zone is defined by a different modular control unit than the first modular control unit.

15 . The system of claim 13 , wherein the action of the one or more occupants is determined based on networked data combined from at least two of the two or more modular control units.

16 . The system of claim 13 , wherein the action of the one or more occupants comprises:

at least one of entering a field of view of the occupancy sensor, moving through the field of view, remaining stationary within the field of view, or exiting the field of view.

17 . The system of claim 16 , wherein the action of the one or more occupants comprises:

a direction and a speed of the one or more occupants.

18 . The system of claim 13 , wherein the current occupancy state includes a position of the one or more occupants within a field of view of the occupancy sensor.

19 . The system of claim 13 , wherein the action of the one or more occupants comprises:

at least one of a waving of one or more arms, a waving of one or more hands, a falling down, a laying down, or a sleeping.

20 . The system of claim 13 , wherein the predicting the future occupancy states comprises:

predicting the future occupancy states based on the current occupancy states and the occupancy routines using a recursive bayesian estimation.

Assignments (2)
SECURITY INTEREST Recorded Apr 28, 2026
From: DEAKO INC.
To: GALLAGHER IP SOLUTIONS LLC (SUCCESSOR IN INTEREST TO NEWLIGHT CAPITAL, LLC)
Reel/Frame 074505/0961 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 3, 2024
From: RICHARDSON, DEREK; PRENDERGAST, PATRICK; OLSON, DANA
To: DEAKO, INC.
Reel/Frame 069465/0034 →