System and method for airside activity management using video analytics
First Claim
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1. A method for airside activity management using video analytics, comprising:
- obtaining, in real time, video data of a survey area from at least one video camera; and
determining time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff by applying video analytics on the obtained video data to manage the one or more airside activities, wherein the airside activities comprise ground handling activities, and wherein determining time stamps associated with one or more of the ground handling activities of the aircraft comprises;
identifying the aircraft and one or more ground handling vehicles by applying the video analytics on the obtained video data, wherein each of the one or more ground handling vehicles is associated with a ground handling activity;
creating a bounding box around the identified aircraft and each of the one or more ground handling vehicles;
tracking movements of at least one of the aircraft and the one or more ground handling vehicles using the created bounding boxes; and
determining start and stop time stamps associated with the one or more of the ground handling activities based on distance between the aircraft and each of the one or more ground handling vehicles.
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Abstract
A system and method for airside activity management using video analytics are disclosed. In one embodiment, video data of a survey area is obtained, in real time, from one or more video cameras. Further, time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff are determined by applying video analytics on the obtained video data to manage the one or more airside activities.
9 Citations
24 Claims
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1. A method for airside activity management using video analytics, comprising:
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obtaining, in real time, video data of a survey area from at least one video camera; and determining time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff by applying video analytics on the obtained video data to manage the one or more airside activities, wherein the airside activities comprise ground handling activities, and wherein determining time stamps associated with one or more of the ground handling activities of the aircraft comprises; identifying the aircraft and one or more ground handling vehicles by applying the video analytics on the obtained video data, wherein each of the one or more ground handling vehicles is associated with a ground handling activity; creating a bounding box around the identified aircraft and each of the one or more ground handling vehicles; tracking movements of at least one of the aircraft and the one or more ground handling vehicles using the created bounding boxes; and determining start and stop time stamps associated with the one or more of the ground handling activities based on distance between the aircraft and each of the one or more ground handling vehicles. - View Dependent Claims (2, 3, 4, 5)
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6. A method for airside activity management using video analytics, comprising:
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obtaining, in real time, video data of a survey area from at least one video camera; and determining time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff by applying video analytics on the obtained video data to manage the one or more airside activities, wherein the airside activities comprise aircraft activities, and wherein determining time stamps associated with the aircraft activities by applying the video analytics on the obtained video data, comprises; identifying the aircraft and a runway by applying the video analytics on the obtained video data during landing and takeoff; creating a bounding box around the identified aircraft and the runway; tracking movements of the identified aircraft using the created bounding box; computing distance between the bounding box associated with the aircraft and the bounding box associated with the runway; and determining the time stamps associated with the aircraft activities based on the computed distance. - View Dependent Claims (7, 8)
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9. A system comprising:
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at least one video camera; and a computing system coupled to the at least one video camera, wherein the computing system comprises a video analytics tool to; obtain, in real time, video data of a survey area from the at least one video camera; and determine time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff by applying video analytics on the obtained video data to manage the one or more airside activities, wherein the airside activities comprise ground handling activities, and wherein the video analytics tool is to; identify the aircraft and one or more ground handling vehicles by applying the video analytics on the obtained video data, wherein each of the one or more ground handling vehicles is associated with a ground handling activity; create a bounding box around the identified aircraft and each of the one or more ground handling vehicles; track movements of at least one of the aircraft and the one or more ground handling vehicles using the created bounding boxes; and determine start and stop time stamps associated with one or more of the ground handling activities based on distance between the aircraft and each of the one or more ground handling vehicles. - View Dependent Claims (10, 11, 12, 13)
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14. A system comprising:
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at least one video camera; and a computing system coupled to the at least one video camera, wherein the computing system comprises a video analytics tool to; obtain, in real time, video data of a survey area from the at least one video camera; and determine time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff by applying video analytics on the obtained video data to manage the one or more airside activities, wherein the airside activities comprise aircraft activities, and wherein the video analytics tool is configured to; identify the aircraft and a runway by applying the video analytics on the obtained video data during landing and takeoff; create a bounding box around the identified aircraft and the runway; track movements of the identified aircraft using the created bounding box; compute distance between the bounding box associated with the aircraft and the bounding box associated with the runway; and determine the time stamps associated with the aircraft activities based on the computed distance. - View Dependent Claims (15, 16)
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17. A non-transitory computer readable storage medium including instructions that are configured, when executed by a computing device, for airside activity management using video analytics, the method comprising:
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obtaining, in real time, video data of a survey area from at least one video camera; and determining time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff by applying video analytics on the obtained video data to manage the one or more airside activities, wherein the airside activities comprise ground handling activities, and wherein determining the time stamps associated with one or more of the ground handling activities of the aircraft comprises; identify the aircraft and one or more ground handling vehicles by applying the video analytics on the obtained video data, wherein each of the one or more ground handling vehicles is associated with a ground handling activity; create a bounding box around the identified aircraft and each of the one or more ground handling vehicles; track movements of the at least one of the aircraft and the one or more ground handling vehicles using the created bounding boxes; and determine start and stop time stamps associated with the one or more of the ground handling activities based on distance between the aircraft and each of the one or more ground handling vehicles. - View Dependent Claims (18, 19, 20, 21)
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22. A non-transitory computer readable storage medium including instructions that are configured, when executed by a computing device, for airside activity management using video analytics, the method comprising:
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obtaining, in real time, video data of a survey area from at least one video camera; and determining time stamps associated with one or more airside activities of an aircraft from touchdown to takeoff by applying video analytics on the obtained video data to manage the one or more airsick activities, wherein the airside activities comprise aircraft activities, and wherein determining time stamps associated with aircraft activities by applying video analytics on the obtained video data comprises; identifying the aircraft and a runway by applying the video analytics on the obtained video data during landing and takeoff; creating a bounding box around the identified aircraft and the runway; tracking movements of the identified aircraft using the created bounding box; computing distance between the bounding box associated with the aircraft and the bounding box associated with the runway; and determining the time stamps associated with the aircraft activities based on the computed distance. - View Dependent Claims (23, 24)
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Specification