IP Library Granted Patent US 12,242,288
Granted Patent B1
US 12,242,288 · App. 18/677,146 · Granted Mar 4, 2025

Autonomous drone mesh sensor deployment system

Inventors: Jeremy Frederick (West Lafayette, IN); Nick Hansen (West Lafayette, IN); Duncan Mulgrew (West Lafayette, IN)
Assignee: Uniform Sierra Aerospace, LLC
G05D1/665B64D1/08G05D1/222G05D1/243G05D1/247H04L67/12G05D2105/40G05D2109/20
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Quick Facts
Patent No.
US 12,242,288
App. No.
18/677,146
Granted
Mar 4, 2025
Kind
B1
Abstract

Systems, tools and methods for deploying a mesh sensor network. The system comprises one or more aircraft configured to carry one or more drop pods into an environment and the deploying of the drop pods at points of interest. The aircraft and drop pods may comprise arrays of sensors for monitoring the areas that they are operating in. The aircraft and drop pods may include mesh radio communication devices and operate as nodes in the mesh network. The location at which each drop pod is to be deployed may be determined based on the type of sensors carried by the drop pod.

Claims (128)

1. A mesh sensor deployment system, the mesh sensor deployment system comprising:

a mesh network comprising a ground control station (GCS), an aircraft and one or more drop pods, and wherein the GCS comprises:

GCS control module;

a slave mesh radio module;

a command UI module; and

one or more display units;

the drop pods comprise:

a drop pod control module;

a pod mesh radio module; and

a pod sensor array module, wherein the pod sensor array module comprises one or more sensor types and wherein a pod type of the drop pod corresponds to the sensor types; and

the aircraft comprises:

flight control module;

a master mesh radio module;

an aircraft sensor array module; and

a drop pod bay unit, wherein the one or more drop pods are attached to the aircraft through the drop pod bay unit; and

wherein the aircraft is configured to:

receive, by the master mesh radio module over the mesh network, a mission plan from the GCS, wherein the mission plan comprises one or more commands;

control, by the flight control module, the aircraft based on the one or more commands;

collect, by the aircraft sensor array module, environment data;

identify, based on the environment data and the pod type of the one or more drop pods, one or more points of interest (POI), wherein the identifying further comprises determining a POI type for each of the POIs;

select, for each POI, a POI drop pod from the one or more drop pods, wherein the selecting is based on the pod type and the POI;

deploy, by the drop pod bay unit, each of the selected POI drop pods, wherein the deploying comprises:

selecting a drop location and drop orientation based on the POI type; and

releasing the selected POI drop pod at the selected drop location.

2. The system of claim 1 , wherein one or more of the one or more POIs is a gas type POI, and the identification is based in part on an altitude of the aircraft and a mesh network signal strength.

3. The system of claim 1 , wherein one or more of the one or more POIs is a camera type POI, and the identification is based in part on a count corresponding to a number of doors and stairways encountered by the aircraft.

4. The system of claim 1 , wherein one or more of the one or more POIs is a mesh node type POI, and the identification is based in part on a mesh network signal strength being below a predetermined threshold value.

5. The system of claim 1 , wherein the pod sensor array module comprises:

one or more RGB camera modules;

one or more thermal camera modules;

one or more microphone modules;

one or more CO sensor modules;

one or more O2 sensor modules;

one or more PM2.5 sensor modules;

one or more temperature sensor modules;

one or more motion sensor modules; or

one or more ultrasound transducer modules; and

wherein the aircraft sensor array module comprises:

one or more RGB camera modules;

one or more thermal camera modules;

one or more microphone modules;

one or more CO sensor modules;

one or more O2 sensor modules;

one or more PM2.5 sensor modules;

one or more temperature sensor modules;

one or more motion sensor modules; or

one or more ultrasound transducer modules.

6. The system of claim 1 , wherein the GCS is configured to:

generate, by the GCS control module, a mission plan, wherein the mission plan comprises one or more flight paths and one or more mission objectives, and wherein the one or more flight paths comprise a plurality of waypoints;

transmit, over the slave mesh radio module, the mission plan to the aircraft;

receive, over the slave mesh radio module, aircraft status from the aircraft and pod status from each of the deployed POI drop pods;

generate, by the command UI module, a graphical user interface based on the received aircraft status and the received pod status of each of the deployed POI drop pods, wherein the received aircraft status and the received pod status of each of the deployed POI drop pods comprise one or more sensor readings; and

display, by the one or more display units, the graphical user interface.

7. The system of claim 6 , wherein the GCS is further configured to:

receive, by the command UI module, control input from a user, wherein the control input corresponds to modification to the mission plan;

generate, by the GCS control module, a modified mission plan based on the received control input; and

transmit, by the slave mesh radio module, the modified mission plan to the aircraft.

8. The system of claim 7 , wherein the aircraft further comprises a computer vision module and wherein the aircraft is further configured to:

capture, by the aircraft sensor array module, image data of the environment;

analyze, by the computer vision module, the captured image data, wherein the computer vision module comprises one or more trained machine learning models;

autonomously modify the flight plan based on the analysis of the computer vision module, wherein the modification of the flight plan comprises:

adding or removing waypoints to the flight path; and

adding or removing mission objectives; and

and wherein identifying the one or more POIs is further based at least in part on the analysis of the computer vision module and the modification of the flight plan.

9. A mesh sensor deployment method, the mesh sensor deployment method comprising:

generating a mesh network comprising a ground control station (GCS), an aircraft and one or more drop pods, wherein the GCS comprises;

a GCS control module;

a slave mesh radio module;

a command UI module; and

one or more display units;

wherein the drop pods comprise:

a drop pod control module;

a pod mesh radio module; and

a pod sensor array module, wherein the pod sensor array module comprises one or more sensor types and wherein a pod type of the drop pod corresponds to the sensor types; and

wherein the aircraft comprises:

a flight control module;

a master mesh radio module;

an aircraft sensor array module; and

a drop pod bay unit, wherein the one or more drop pods are attached to the aircraft through the drop pod bay unit; and

wherein the aircraft is configured to:

receive, by the master mesh radio module over the mesh network, a mission plan from the GCS, wherein the mission plan comprises one or more commands;

control, by the flight control module, the aircraft based on the one or more commands;

collect, by the aircraft sensor array module, environment data;

identify, based on the environment data and the pod type of the one or more drop pods, one or more points of interest (POI), wherein the identifying further comprises determining a POI type for each of the POIs;

select, for each POI, a POI drop pod from the one or more drop pods, wherein the selecting is based on the pod type and the POI;

deploy, by the drop pod bay unit, each of the selected POI drop pods, wherein the deploying comprises:

selecting a drop location and drop orientation based on the POI type; and

releasing the selected POI drop pod at the selected drop location.

10. The method of claim 9 , wherein one or more of the one or more POIs is a gas type POI, and the identification is based in part on an altitude of the aircraft and a mesh network signal strength.

11. The method of claim 9 , wherein one or more of the one or more POIs is a camera type POI, and the identification is based in part on a count corresponding to a number of doors and stairways encountered by the aircraft.

12. The method of claim 9 , wherein one or more of the one or more POIs is a mesh node type POI, and the identification is based in part on a mesh network signal strength being below a predetermined threshold value.

13. The method of claim 9 , wherein the pod sensor array module comprises:

one or more RGB camera modules;

one or more thermal camera modules;

one or more microphone modules;

one or more CO sensor modules;

one or more O2 sensor modules;

one or more PM2.5 sensor modules;

one or more temperature sensor modules;

one or more motion sensor modules; or

one or more ultrasound transducer modules; and

wherein the aircraft sensor array module comprises:

one or more RGB camera modules;

one or more thermal camera modules;

one or more microphone modules;

one or more CO sensor modules;

one or more O2 sensor modules;

one or more PM2.5 sensor modules;

one or more temperature sensor modules;

one or more motion sensor modules; or

one or more ultrasound transducer modules.

14. The method of claim 9 , wherein the GCS is configured to:

generate, by the GCS control module, a mission plan, wherein the mission plan comprises one or more flight paths and one or more mission objectives, and wherein the one or more flight paths comprise a plurality of waypoints;

transmit, over the slave mesh radio module, the mission plan to the aircraft;

receive, over the slave mesh radio module, aircraft status from the aircraft and pod status from each of the deployed POI drop pods;

generate, by the command UI module, a graphical user interface based on the received aircraft status and the received pod status of each of the deployed POI drop pods, wherein the received aircraft status and the received pod status of each of the deployed POI drop pods comprise one or more sensor readings; and

display, by the one or more display units, the graphical user interface.

15. The method of claim 14 , wherein the GCS is further configured to:

receive, by the command UI module, control input from a user, wherein the control input corresponds to modification to the mission plan;

generate, by the GCS control module, a modified mission plan based on the received control input; and

transmit, by the slave mesh radio module, the modified mission plan to the aircraft.

16. The method of claim 15 , wherein the aircraft further comprises a computer vision module and wherein the aircraft is further configured to:

capture, by the aircraft sensor array module, image data of the environment;

analyze, by the computer vision module, the captured image data, wherein the computer vision module comprises one or more trained machine learning models;

autonomously modify the flight plan based on the analysis of the computer vision module, wherein the modification of the flight plan comprises:

adding or removing waypoints to the flight path; and

adding or removing mission objectives; and

and wherein identifying the one or more POIs is further based at least in part on the analysis of the computer vision module and the modification of the flight plan.

Assignments (4)
SECURITY INTEREST Recorded Jun 9, 2026
From: FLOCK GROUP INC
To: FIRST-CITIZENS BANK & TRUST COMPANY
Reel/Frame 074894/0762 →
PATENT SECURITY AGREEMENT Recorded Jun 9, 2026
From: FLOCK GROUP INC
To: VCP CAPITAL MARKETS, LLC, AS ADMINISTRATIVE AGENT
Reel/Frame 075736/0137 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 17, 2025
From: UNIFORM SIERRA AEROSPACE, LLC
To: FLOCK GROUP INC.
Reel/Frame 070874/0427 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 29, 2024
From: FREDERICK, JEREMY; HANSEN, NICK; MULGREW, DUNCAN
To: UNIFORM SIERRA AEROSPACE, LLC
Reel/Frame 067551/0626 →
References Cited (2)
US 20130240749A1 · Imholt · 2013 [cited by examiner]
US 20170246742A1 · Baroudi · 2017 [cited by examiner]