Airside Video Analytics for Aircraft Activity Time Stamping
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Solution Overview
Problem
Manual determination of start and stop time stamps for airside activities by airline operators and ground handlers is inaccurate, leading to inefficient management of airside activities and ground handling vehicles, as well as unplanned gate allocation and inaccurate Target Off Block Time (TOBT) computation.
Innovation Solution
A system and method using video analytics to obtain and analyze real-time video data from cameras, determining time stamps for airside activities such as aircraft touchdown, takeoff, and ground handling operations, employing bounding boxes and machine learning algorithms to track movements and calculate time stamps based on distance between aircraft and ground handling vehicles or runways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination of start and stop time stamps is used, then simplicity of operation is maintained, but measurement precision and reliability of time stamp data deteriorate
Solution Approach 1:
The patent replaces manual mechanical determination of time stamps with an automated video analytics system using computer vision algorithms. The system processes video feeds to automatically detect aircraft movements, ground handling vehicle operations, and calculates precise time stamps without human intervention, thereby improving measurement precision while accepting increased system complexity
Solution Approach 2:
The system enables self-service operation where the video analytics platform automatically monitors, detects, and records airside activities without requiring manual input from operators. The system self-manages time stamp generation for various airside operations, freeing operators from manual recording tasks while maintaining high accuracy
2Productivity
If manual monitoring and time stamp determination is used, then operational simplicity is maintained, but productivity and efficiency of airside activity management deteriorate
Solution Approach 1:
The video analytics system operates continuously to monitor airside activities from touchdown to takeoff, providing uninterrupted real-time tracking of aircraft movements and ground handling operations. This continuous automated monitoring eliminates gaps in data collection and improves productivity compared to intermittent manual monitoring
Solution Approach 2:
The system provides real-time feedback by continuously analyzing video data and generating time stamps that can be immediately used for gate allocation, vehicle scheduling, and TOBT computation. This feedback loop enables dynamic adjustments in airside operations, improving overall efficiency and productivity
3Reliability
If manual determination of time stamps is used, then system simplicity is maintained, but reliability of gate allocation and TOBT computation deteriorates
Solution Approach 1:
The patent replaces manual time stamp determination with automated video-based detection systems that objectively record aircraft positions, ground handling vehicle movements, and operational events. This substitution eliminates human error and subjectivity in time stamping, thereby improving the reliability of gate allocation and TOBT computation
Solution Approach 2:
The video analytics system acts as an intermediary between raw video data and operational decisions. It processes visual information through machine learning models to generate accurate time stamps and activity records, serving as a reliable mediator that ensures data accuracy for gate management and scheduling operations
Data Source
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Figure 3A~3B
AI summary
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.