Automated Gesture Recognition for Aircraft Parking Guidance
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Solution Overview
Problem
Current methods for guiding aircraft into parking positions using ground crew hand gestures are prone to misinterpretation, leading to hazardous situations due to improper gestures or conflicting signals, which can result in damage to aircraft, infrastructure, and personnel.
Innovation Solution
A system comprising image capture devices and a controller with processors that receive and analyze reference images to identify source objects and determine control signals based on recognized gestures, providing accurate and consistent guidance to aircraft crew.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ground crew personnel provide visual hand gestures to aircraft crew, then aircraft maneuvering guidance is provided, but misinterpretation or improper gestures may occur leading to hazardous outcomes
Solution Approach 1:
The patent replaces the manual mechanical gesture system with an automated optical recognition system using image capture devices and processors. The system captures images of ground crew gestures, processes them through algorithms to identify gesture types, and generates corresponding control signals for aircraft automation, eliminating human interpretation errors entirely.
Solution Approach 2:
The system creates a digital copy of the ground crew's hand gestures through image capture devices. These visual gestures are replicated as digital image data, processed to extract gesture meaning, and converted into standardized control signals that accurately represent the original gesture intent without loss or misinterpretation.
2Adaptability or versatility
If multiple ground crew personnel provide gestures, then comprehensive guidance is available, but conflicting signals may be given causing confusion
Solution Approach 1:
The system continuously monitors gestures from multiple ground crew members through image capture devices, processes their positions and gesture types in real-time, and generates coordinated control signals. The automated system provides feedback by synthesizing multiple inputs into a single consistent command set, resolving conflicts through algorithmic logic rather than human judgment.
Solution Approach 2:
The automated gesture recognition system serves multiple functions simultaneously: it captures gestures from any ground crew member, identifies various gesture types, determines their spatial relationships, and generates appropriate control signals. This universal system handles all guidance tasks through a single integrated process, eliminating the confusion that arises from multiple human operators.
3Measurement precision
If automated gesture recognition system is implemented, then interpretation accuracy is improved, but system complexity increases
Solution Approach 1:
The system divides the gesture recognition task into distinct functional segments: image capture devices acquire visual data, processors execute recognition algorithms, gesture databases store reference patterns, and control signal generators produce output commands. This segmentation allows each component to be optimized independently while maintaining overall system accuracy without excessive complexity.
Data Source
AI summary
A system is disclosed, in accordance with one or more embodiments of the present disclosure. In one embodiment, the system includes a plurality of image capture devices, a controller communicatively coupled to the plurality of image capture devices, wherein the controller includes one or more processors configured to receive a plurality of reference images including one or more source objects, identify the one or more source objects, determine one or more gestures indicative of one or more control signals of the one or more source objects, determine the one or more control signals; and provide the one or more control signals.