Optical image monitoring system and method for vehicles
A system and method of acquiring information from an image of a vehicle in real time wherein at least one imaging device with advanced light metering capabilities is placed aboard a vehicle, a computer processor means is provided to control the imaging device and the advanced light metering capabilities, the advanced light metering capabilities are used to capture an image of at least a portion of the vehicle, and image recognition algorithms are used to identify the current state or position of the corresponding portion of the vehicle.
1. A method of acquiring information from an image of at least a portion of a vehicle comprising the steps of:
mounting at least one imaging device aboard said vehicle, wherein said imaging device has a view of an external control surface of said vehicle;
providing a computer processor connected to and controlling said imaging device;
capturing an image of said external control surface with said imaging device;
inputting said image to said computer processor;
identifying with said computer processor a state of said image; and
said computer processor providing an output corresponding to said image state.
2. The method of claim 1 , wherein the output corresponding to said image state represents the status of said external control surface.
3. The method of claim 2 , wherein the status of said external control surface is chosen from the group consisting of on, off, illuminated, not illuminated, deployed, retracted, home position, out of home position, present, not present, damaged, not damaged, moving, and not moving.
4. The method of claim 1 , wherein the output corresponding to said image state represents the position of said external control surface as a numeric displacement from a starting position.
5. The method of claim 1 further comprising the steps of:
analyzing said image state with a rules engine executing on said computer processor; and
determining if said image state indicates that said vehicle is in violation of a condition defined by said rules engine and, if so, initiating an appropriate response to said violation.
6. The method of claim 5 wherein said rules engine comprises aircraft flight profile rules as used by a flight operations quality assurance (FOQA) program.
7. The method of claim 1 , wherein the external control surface is chosen from among the group comprising rudder, elevator, aileron, flap, landing gear, wing, and propeller.
8. A method of acquiring information from an image of at least a portion of a vehicle comprising the steps of:
mounting at least one imaging device aboard said vehicle, wherein said imaging device has a view of an external surface of said vehicle;
providing a computer processor connected to and controlling said imaging device;
capturing an image of said external surface with said imaging device;
inputting said image to said computer processor;
identifying with said computer processor a state of said image;
providing said imaging device with advanced light metering capabilities; and
said computer processor providing an output corresponding to said image state.
9. The method of claim 8 wherein the step of said computer processor providing an output corresponding to said image state applies said advanced light metering capabilities directly to raw pixel data before an image file is created.
10. The method of claim 8 , wherein the output corresponding to said image state represents the status of said external control surface.
11. The method of claim 10 , wherein the status of said external control surface is chosen from the group consisting of on, off, illuminated, not illuminated, deployed, retracted, home position, out of home position, present, not present, damaged, not damaged, moving, and not moving.
12. The method of claim 8 , wherein the output corresponding to said image state represents the position of said external control surface as a numeric displacement from a starting position.
13. A method of acquiring information from an image of at least a portion of a vehicle comprising the steps of:
mounting at least one imaging device aboard said vehicle, wherein said imaging device has a view of an external surface of said vehicle chosen from among the group consisting of fuselage, door, wing, tail, landing gear, control surface, propeller, window, engine, and exterior light;
providing a computer processor connected to controlling said imaging device;
providing said imaging device with advanced light metering capabilities chosen from among the group comprising spot metering, average metering, and center-weighted average metering;
capturing an image of said external surface with said imaging device;
inputting said image to said computer processor;
identifying with said computer processor a state of said image;
analyzing said image state with a rules engine executing on said computer processor;
determining with said computer processor if said image state indicates that said vehicle is in violation of a condition defined by said rules engine;
if said vehicle is in violation of a respective condition, initiating an appropriate response to said violation;
said computer processor providing an output corresponding to said image state applies said advanced light metering capabilities directly to raw pixel data before an image file is created; and
said computer processor providing an output corresponding to said image state.
14. The method of claim 13 , wherein the output corresponding to said image state represents the status of said external control surface.
15. The method of claim 14 , wherein the status of said external control surface is chosen from the group consisting of on, off, illuminated, not illuminated, deployed, retracted, home position, out of home position, present, not present, damaged, not damaged, moving, and not moving.
16. The method of claim 13 , wherein the output corresponding to said image state represents the position of said external control surface as a numeric displacement from a starting position.