Boeing has been granted a patent for a gesture recognition system for ground operations of aircraft. The system uses temporal color images to identify gestures, generate optical flow data, and train machine learning models to recognize features and gestures. GlobalData’s report on Boeing gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Boeing, Light-weight composite fuselage was a key innovation area identified from patents. Boeing's grant share as of May 2024 was 68%. Grant share is based on the ratio of number of grants to total number of patents.
Gesture recognition system for aircraft ground operations
A recently granted patent (Publication Number: US12014574B2) discloses a gesture recognition system designed for ground operations of aircraft. The system includes a computer system with a machine learning model manager that can identify gestures from input images captured by a camera system. These gestures are then used to determine commands for operating the aircraft, which can be sent to a controller for execution. The system utilizes a combination of temporal color images, optical flow data, and saliency maps to train a set of feature machine learning models and classifier machine learning models for gesture recognition. The trained models can recognize a variety of gestures made by a marshaller, enabling control of the aircraft for tasks such as stopping, turning, or engine control.
Furthermore, the patent details the training process for the gesture recognition machine learning model system, which involves identifying temporal images, generating pixel variation data, and training feature machine learning models. The system can also generate skeleton data describing poses of a human operator in the images, enhancing the recognition capabilities. By utilizing optical flow data, saliency maps, and color images in the training process, the system can accurately recognize gestures and translate them into commands for controlling the aircraft. The disclosed system is versatile and can be applied to various types of aircraft, including autonomous aerial vehicles, manned aircraft, and rotorcraft, showcasing its potential for enhancing ground operations efficiency and safety in the aviation industry.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
