# US 12,223,819 B2 · Building security and emergency detection and advisement system

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- Number: US 12,223,819 B2
- Document ID: US12223819B2
- Status: Granted
- Kind: B2
- Application number: 18/508,386
- Filed: 2023-11-14
- Published: 2024-03-14
- Granted: 2025-02-11
- Earliest claimed: 2021-07-15
- Assignees: Tabor Mountain LLC
- Applicants: Tabor Mountain LLC
- Inventors: Edward Michael Donegan; William Delmonico; Joseph Schmitt
- Web page: https://patentgrep.com/patent/US12223819B2

## CPC

- G08B 21/18: Status alarms (G08B21/02 takes precedence)
- G08B 7/06: using electric transmission {, e.g. involving audible and visible signalling through the use of sound and light sources}
- G08B 7/066: {guiding along a path, e.g. evacuation path lighting strip}
- G08B 27/005: {with transmission via computer network}
- G08B 29/186: {Fuzzy logic; neural networks}
- G08B 29/188: {Data fusion; cooperative systems, e.g. voting among different detectors}
- G10L 15/22: Procedures used during a speech recognition process, e.g. man-machine dialogue
- G08B 21/0423: {detecting deviation from an expected pattern of behaviour or schedule}
- G08B 21/0492: {Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking}
- G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING

## Abstract

Disclosed are systems and methods for providing distributed security event monitoring. The system can include a central monitoring system and sensor devices positioned throughout a premises that passively detect conditions and emit signals guiding people on the premises when a security event is detected. The sensor devices can include suites of sensors and can transmit detected conditions to the central monitoring system. The central monitoring system can combine the detected conditions to generate a collective of detected conditions, determine whether the collective of detected conditions exceeds expected threshold conditions, identify a security event on the premises based on the collective of detected conditions, classify the security event using machine learning models, generate instructions to produce audio or visual output at the sensor devices that notifies people on the premises about the security event, and transmit the instructions to the sensor devices to emit signals indicating information about the security event.

## Claims

### Claim 1

A system for emergency detection and response, the system comprising:
a plurality of sensor devices positioned throughout a building; and
a computer system in network communication with the plurality of sensor devices, wherein the computer system is configured to:
continuously receive, from the plurality of sensor devices, signals generated by the plurality of sensor devices indicating conditions detected in the building;
detect an emergency in the building based on processing the continuously received signals using a machine learning model that was trained to correlate the continuously received signals with each other and with known types of emergencies;
generate visual output based on the detected emergency, wherein the visual output comprises augmented reality (AR) interaction with a user in the building;
transmit instructions for presenting the visual output to at least one sensor device of the plurality of sensor devices, wherein the at least one sensor device is configured to execute the instructions and present the visual output to the user in the building;
receive, from the at least one sensor device, audio input indicating a response of the user to the visual output;
generate updated visual output based on (i) the detected emergency and (ii) the audio input indicating the response of the user to the visual output; and
transmit instructions for presenting the updated visual output at the at least one sensor device.

### Claim 2 (depends on 1)

The system of claim 1, wherein presenting, by the at least one sensor device, the visual output to the user in the building with AR interaction comprises projecting visualizations on a surface proximate the user depicting a current state of the building.

### Claim 3 (depends on 2)

The system of claim 2, wherein the visualizations comprise images that were captured by other sensor devices amongst the plurality of sensor devices positioned throughout the building.

### Claim 4 (depends on 3)

The system of claim 3, wherein the visualizations comprise videos that are captured, in real-time, by other sensors amongst the plurality of sensor devices positioned throughout the building.

### Claim 5 (depends on 1)

The system of claim 1, wherein the computer system is configured to:
process the audio input to determine an emotions indicator for the user;
determine, based on a determination that the emotions indicator for the user satisfies one or more criteria, that the user is experiencing at least a threshold level of concern for their safety;
generate additional output for presentation to the user based on the user experiencing at least the threshold level of concern for their safety; and
transmit instructions for presenting the additional output to the user at the at least one sensor device.

### Claim 6 (depends on 5)

The system of claim 5, wherein the additional output comprises step-by-step instructions to guide the user from a current location in the building to a location of safety, wherein the step-by-step instructions avoid a location of the detected emergency.

### Claim 7 (depends on 5)

The system of claim 5, wherein the computer system is further configured to generate and transmit, in response to the user experiencing at least the threshold level of concern for their safety, a notification to an emergency personnel device, wherein the notification comprises information about the detected emergency and the emotional indicator for the user.

### Claim 8 (depends on 1)

The system of claim 1, wherein the computer system is further configured to classify the emergency as a particular type of emergency amongst the known types of emergencies using the machine learning model.

### Claim 9 (depends on 1)

The system of claim 1, wherein classifying the emergency further comprises determining a severity level of the emergency.

### Claim 10 (depends on 1)

The system of claim 1, wherein:
the computer system is configured to transmit information about the detected emergency to a security system associated with the building, and
the security system is configured to (i) generate guidance to assist the user in the building to address the detected emergency and (ii) transmit the guidance to the at least one sensor device to be presented to the user in the building.

### Claim 11 (depends on 1)

The system of claim 1, wherein the computer system is further configured to:
communicate, based on detecting the emergency, with another sensor device of the plurality of sensor devices to request signals generated at a similar time as the signals that were processed to detect the emergency in the building;
receive, from the another sensor device, the requested signals;
determine whether the received signals from the another sensor device exceed respective expected conditions beyond a threshold level; and
correlate the received signals from the another sensor device with the signals that were processed to detect the emergency in the building based on a determination that the received signals from the another sensor device exceed the respective expected conditions beyond the threshold level.

### Claim 12 (depends on 1)

The system of claim 1, wherein the computer system comprises an emergency egress module and a security module, wherein the emergency egress module is configured to generate output instructions for egressing the building according to the types of emergencies, and the security module is configured to detect the types of emergencies in the building.

### Claim 13 (depends on 1)

The system of claim 1, wherein the computer system is configured to detect the emergency in the building based on:
determining that at least one signal of the received signals exceeds a respective threshold condition beyond a threshold level;
identifying one or more other signals of the received signals that exceed respective threshold conditions beyond threshold levels at a similar time as the at least one signal; and
correlating the identified one or more other signals with the at least one signal to detect the emergency.

### Claim 14 (depends on 13)

The system of claim 13, wherein:
the at least one signal is an increase in decibel readings at a location in the building where the emergency is detected,
the one or more other signals comprise a sudden movement at the location in the building where the emergency is detected, and
the detected emergency is a break-in at the location in the building.

### Claim 15 (depends on 1)

The system of claim 1, wherein the plurality of sensor devices in the building comprises the computer system.

### Claim 16 (depends on 1)

The system of claim 1, wherein the computer system is remote from the building.

### Claim 17 (depends on 1)

The system of claim 1, wherein the detected emergency is a break-in in the building.

### Claim 18 (depends on 1)

The system of claim 1, wherein the detected emergency is at least one of a burglary, a theft, a break-in, a fire, a gas leak, or a flood in the building.

### Claim 19 (depends on 1)

The system of claim 1, wherein the at least one sensor device is a mobile device of the user in the building.

### Claim 20 (depends on 1)

The system of claim 1, wherein the visual output, when presented by the at least one sensor device, instruct the user to stay in place in the building.