RTX had 49 patents in artificial intelligence during Q1 2024. Raytheon Technologies Corp filed patents in Q1 2024 for a biometric authentication system using headwear with biosensors, a system for detecting a person in a hoistway, applying security to messages over constrained bandwidth links, controlling aircraft engines using AI models, and inspecting gas turbine engine blades for abnormalities using light projection and sensors. GlobalData’s report on RTX gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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RTX grant share with artificial intelligence as a theme is 40% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Optical expression detection (Patent ID: US20240105169A1)

The patent filed by Raytheon Technologies Corp. describes a biometric authentication system using headwear with biosensors to sample muscle activity and authenticate users based on characteristic muscle activity stored in a data set. The system includes sensors to detect facial muscle activity, a processor to analyze the data captured by the sensors, and a weighting mechanism based on the level of muscle activity to determine the activity of facial muscles. The system can infer facial expressions based on the determined muscle activity and includes features such as optical flow sensors, EMG sensors, proximity sensors, and motion sensors to enhance the accuracy of the authentication process.

The system's processor processes time-varying data captured by sensors to determine facial muscle activity, with different weights assigned to data from different sensors based on the level of muscle activity. The system can detect activation and degree of activation of facial muscles, infer facial expressions, and filter data based on motion sensor outputs to improve accuracy. The wearable apparatus includes optical flow sensors, EMG sensors, proximity sensors, and motion sensors, with the processor combining data from these sensors to authenticate users based on characteristic muscle activity stored in a data set.

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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.