# US 2025/0095381 A1 · Flight preparation event detection

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- Number: US 2025/0095381 A1
- Document ID: US20250095381A1
- Status: Published application
- Kind: A1
- Application number: 18/782,284
- Filed: 2024-07-24
- Published: 2025-03-20
- Earliest claimed: 2023-09-18
- Assignees: The Boeing Company
- Applicants: The Boeing Company
- Inventors: Miriam Cornel; Michael Christian Büddefeld; Stuart Cocks; Millie Irene Sterling; Andres Munoz Hernandez
- Web page: https://patentgrep.com/patent/US20250095381A1

## CPC

- G06V 20/52: Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69)
- G06V 20/56: exterior to a vehicle by using sensors mounted on the vehicle
- B64D 45/00: Aircraft indicators or protectors not otherwise provided for
- G06T 7/20: Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51)
- G06T 7/74: {involving reference images or patches}
- G06V 10/25: Determination of region of interest [ROI] or a volume of interest [VOI]
- G06V 10/774: Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
- G06V 10/82: using neural networks
- G06T 2207/20081: Training; Learning
- G06T 2207/30261: Obstacle
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- B64D: EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

A device includes one or more processors configured to obtain bounding box data indicating a first location history of a first bounding box associated with a first object detected in images. The one or more processors are also configured to process, using a trained model, at least the first location history to detect an event associated with flight preparation of an aircraft. The one or more processors are further configured to generate an output indicating the event.

## Claims

### Claim 1

A device comprising:
one or more processors configured to:
obtain bounding box data indicating a first location history of a first bounding box associated with a first object detected in images;
process, using a trained model, at least the first location history to detect an event associated with flight preparation of an aircraft; and
generate an output indicating the event.

### Claim 2 (depends on 1)

The device of claim 1, wherein the bounding box data includes a first image indicating a first path of a first midpoint of the first bounding box.

### Claim 3 (depends on 1)

The device of claim 1, wherein the bounding box data includes a first sequence of locations indicating a first path of the first bounding box.

### Claim 4 (depends on 1)

The device of claim 1, wherein the one or more processors are configured to receive the images from a camera that captures a scene at an aircraft stand at an airport.

### Claim 5 (depends on 1)

The device of claim 1, wherein the one or more processors are configured to receive the images from a camera coupled to the aircraft.

### Claim 6 (depends on 1)

The device of claim 1, wherein the one or more processors are configured to perform object detection on the images to:
detect the first object; and
generate the first bounding box.

### Claim 7 (depends on 1)

The device of claim 1, wherein the event corresponds to one of a plurality of events that are tracked by an aircraft turnaround management system, and wherein the aircraft turnaround management systems updates a status of the event based on the output.

### Claim 8 (depends on 7)

The device of claim 7, wherein the aircraft turnaround management system determines a predicted delay based on the status of the event and planned timing data associated with the plurality of events.

### Claim 9 (depends on 1)

The device of claim 1, wherein the bounding box data includes a second location history of a second bounding box associated with a second object detected in the images, and wherein the one or more processors are configured to process, using the trained model, the first location history and the second location history to detect the event.

### Claim 10 (depends on 1)

The device of claim 1, wherein the bounding box data includes a third location history of a third bounding box associated with a third object detected in the images; and wherein the one or more processors are configured to:
process, using the trained model, the first location history and the third location history to detect a second event associated with the flight preparation of the aircraft; and
generate a second output indicating the second event.

### Claim 11 (depends on 1)

The device of claim 1, wherein the one or more processors are configured to update the trained model based on tagged training data of multiple aircraft flight preparation events.

### Claim 12 (depends on 1)

The device of claim 1, wherein the trained model is trained to detect a particular location pattern corresponding to historical location patterns associated with the event.

### Claim 13 (depends on 1)

The device of claim 1, wherein the event includes at least one of: arrival of the aircraft, departure of the aircraft, arrival of a truck, departure of the truck, a change in a configuration of the truck, start of refueling, end of refueling, start of baggage loading, end of baggage loading, start of de-icing, end of de-icing, opening of a door of the aircraft, closing of the door of the aircraft, start of meal loading, end of meal loading, passenger embarkation, passenger disembarkation, extension of a bridge, or retraction of the bridge.

### Claim 14 (depends on 1)

The device of claim 1, wherein the one or more processors are configured to:
obtain additional sensor data; and
selectively generate an alert based on determining whether the additional sensor data indicates the event.

### Claim 15

An aircraft comprising:
one or more processors configured to:
obtain bounding box data indicating a first location history of a first bounding box associated with a first object detected in images;
process, using a trained model, at least the first location history to detect an event associated with flight preparation of the aircraft; and
generate an output indicating the event.

### Claim 16 (depends on 15)

The aircraft of claim 15, wherein the one or more processors are configured to:
obtain additional sensor data; and
selectively generate an alert based on determining whether the additional sensor data indicates the event.

### Claim 17 (depends on 16)

The aircraft of claim 16, further comprising a door, wherein the additional sensor data indicates whether the door is open.

### Claim 18 (depends on 16)

The aircraft of claim 16, further comprising at least an adaptable wing, wherein the additional sensor data indicates a detected position of the adaptable wing.

### Claim 19

A method comprising:
obtaining, at a device, bounding box data indicating a first location history of a first bounding box associated with a first object detected in images;
processing, using a trained model, at least the first location history to detect an event associated with flight preparation of an aircraft; and
generating, at the device, an output indicating the event.

### Claim 20 (depends on 19)

The method of claim 19, wherein the first object includes the aircraft, a fuel truck, a baggage cart, a de-icing truck, a catering truck, a pushback tug, a snow plow, an airstair, an air bridge, an apron bus, a belt loader, a container loader, a water truck, a lavatory service vehicle, a ground power unit, an air start unit, or a fire truck.