Lyft‘s patent involves a system to intelligently identify trigger events in transportation services using data like motion, GPS, and audio to selectively store and upload media recordings. The method includes capturing, analyzing, and prioritizing videos to upload relevant portions to a remote server based on trigger events. GlobalData’s report on Lyft gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Lyft, Autonomous delivery vehicle navigation system was a key innovation area identified from patents. Lyft's grant share as of January 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.

Intelligent media storage and upload system for transportation services

Source: United States Patent and Trademark Office (USPTO). Credit: Lyft Inc

A recently granted patent (Publication Number: US11887386B1) outlines a computer-implemented method for capturing and analyzing digital videos associated with a transportation service provided by a vehicle. The method involves using rear-facing and forward-facing digital cameras to capture videos, detecting trigger events related to the transportation service, determining portions of the videos to be moved to another memory partition based on the trigger event, generating a media classification, assigning priority based on the classification, and initiating an upload to a remote server. The trigger events can include confrontation or reckless driving events, detected by analyzing the videos or motion data associated with the transportation service. Machine-learning models are applied to identify trigger events, and specific portions of the videos are selected based on timestamps and media duration.

Furthermore, the patent includes instructions for a non-transitory computer-readable medium that, when executed by a processor, enables the system to capture, analyze, and upload videos related to transportation services. The system can identify motion signals, analyze motion data, apply machine-learning models, and store videos in memory partitions based on storage trigger events. The system is designed to prioritize and upload specific video segments to a remote server, enhancing the monitoring and management of transportation services. Overall, the patent details a comprehensive method and system for efficiently handling digital video data in the context of transportation services, ensuring timely responses to trigger events and effective utilization of captured media.

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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.