Systems and methods for inspecting aircraft

1 . A system configured for an inspection of an aircraft at a first location, the system comprising:

an imaging device that acquires, at a first location of the aircraft, one or more images of one of or more surfaces of the aircraft at the first location;

a control unit in communication with the imaging device, wherein the control unit is configured to receive the one or more images; and

a user interface in communication with the control unit, wherein the user interface is at a second location that differs from the first location, wherein the user interface includes a display, wherein the control unit is configured to model human vision performance by applying calculations of human eye resolving power to establish a baseline for replicating capabilities on the display, and wherein the control unit shows, at the second location that differs from the first location of the aircraft and the imaging device, the one or more images on the display, and wherein the inspection is performed with respect to the one or more images at the second location that differs from the first location of the aircraft and the imaging device.

2 . The system of claim 1 , wherein the inspection comprises one or more of a general visual inspection of the aircraft, a lightning strike inspection of the aircraft, or a hail damage inspection of the aircraft.

3 . The system of claim 1 , wherein the control unit is configured to modify the one or more images based on at least one characteristic of the display.

4 . The system of claim 1 , wherein the control unit is configured to calculate optical requirements of the display to preserve an optical resolution that matches human eye inspection performance of the aircraft.

5 . The system of claim 1 , wherein the control unit is configured to partition the one or more images into parts shown on the display.

6 . The system of claim 1 , wherein the control unit is further configured to store the one or more images in a memory.

7 . The system of claim 1 , further comprising a mobile cart that includes the imaging device.

8 . The system of claim 1 , further comprising a drone that includes the imaging device.

9 . The system of claim 1 , wherein the control unit compares the one or more images with one or more reference images of the aircraft to automatically detect one or more anomalies.

10 . The system of claim 1 , wherein the control unit automatically determines one or more anomalies in the one or more images through artificial intelligence or machine learning.

11 . A method for an inspection of an aircraft at a first location, the method comprising:

acquiring, by an imaging device, one or more images of one of or more surfaces of the aircraft at the first location;

receiving, by a control unit in communication with the imaging device, the one or more images;

automatically determining, by the control unit, one or more anomalies in the one or more images through artificial intelligence or machine learning;

modeling, by the control unit, human vision performance by applying calculations of human eye resolving power to establish a baseline for replicating capabilities on a display of a user interface at a second location that differs from the first location;

showing, by the control unit, the one or more images on the display of the user interface at a second location that differs from the first location; and

performing, by said showing, the inspection of the aircraft at the second location.

12 . The method of claim 11 , further comprising modifying, by the control unit, the one or more images based on at least one characteristic of the display.

13 . The method of claim 11 , further comprising calculating, by the control unit, optical requirements of the display to preserve an optical resolution that matches human eye inspection performance of the aircraft.

14 . The method of claim 11 , wherein said showing comprises partitioning, by the control unit, the one or more images into parts.

15 . The method of claim 11 , further comprising storing, by the control unit, the one or more images in a memory.

16 . The method of claim 11 , further comprising:

comparing, by the control unit, the one or more images with one or more reference images of the aircraft; and

automatically detecting, by the control unit, one or more anomalies in the one or more images through said comparing.

17 . A system configured for an inspection of an aircraft at a first location, wherein the inspection comprises one or more of a general visual inspection of the aircraft, a lightning strike inspection of the aircraft, or a hail damage inspection of the aircraft, the system comprising:

an imaging device that acquires, at the first location of the aircraft, one or more images of one of or more surfaces of the aircraft at the first location;

a control unit in communication with the imaging device, wherein the control unit is configured to receive the one or more images; and

a user interface in communication with the control unit, wherein the user interface is at a second location that differs from the first location, wherein the user interface includes a display, wherein the control unit:

modifies the one or more images based on at least one characteristic of the display,

calculates optical requirements of the display to preserve an optical resolution that matches human eye inspection performance of the aircraft,

models human vision performance by applying calculations of human eye resolving power to establish a baseline for replicating capabilities on the display,

shows, at the second location that differs from the first location of the aircraft and the imaging device, the one or more images on the display,

partitions the one or more images into parts shown on the display,

automatically determines one or more anomalies in the one or more images through artificial intelligence or machine learning,

and wherein the inspection is performed with respect to the one or more images at the second location that differs from the first location of the aircraft and the imaging device.

18 . The system of claim 1 , wherein the first location is not viewable from the second location.

19 . The method of claim 11 , wherein said acquiring occurs at the first location of the aircraft and the imaging device, wherein said showing occurs at the second location that differs from the first location of the aircraft and the imaging device, and wherein said performing occurs with respect to the one or more images at the second location that differs from the first location of the aircraft and the imaging device.

20 . The system of claim 1 , wherein the control unit is further configured to determine the human eye resolving power to cover a field of view of 6′×4′ by dividing a resultant object size by the field of view to provide a number of pixels that fit in a space of the field of view.

21 . The method of claim 11 , wherein said modeling comprises determining the human eye resolving power to cover a field of view of 6′×4′ by dividing a resultant object size by the field of view to provide a number of pixels that fit in a space of the field of view.