Safran had 14 patents in robotics during Q1 2024. Safran SA filed a patent for a device that detects manned aircraft using positioning messages and reception strength measurements to generate collision warnings. Another patent relates to a human-machine interface with a gripping element that transmits commands based on input information, determining the position of an interaction surface to authorize intentional commands. GlobalData’s report on Safran gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Safran grant share with robotics as a theme is 28% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Device for detecting, by a drone, at least one approaching manned aircraft and associated method for detecting (Patent ID: US20240105068A1)

The patent filed by Safran SA describes a device for a drone to detect manned aircraft by receiving positioning messages with altitude data. The device compares altitude differences and reception strength with thresholds to activate vigilance states and generate collision warning signals if multiple vigilance signals are active simultaneously. The device also calculates derivatives of reception strength and filters data to improve accuracy in detecting potential collisions.

The patent includes claims for the detection device, specifying features such as filtering reception strength and derivatives, determining collision warning signals percentage, emitting safety signals, and integrating the device into a drone. Additionally, a method for detecting manned aircraft by comparing altitude differences and reception strength with thresholds to activate vigilance states and generate collision warning signals is outlined. A computer program product is also described, containing instructions for carrying out the detection method. Overall, the patent aims to enhance safety in drone operations by effectively detecting and warning of potential collisions with manned aircraft based on received positioning messages.

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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.