Lytx’s patented system uses vehicle data and driver location data to determine the most likely driver during an anomalous event. The processor analyzes data using a model, including facial recognition based on regulations, to identify the driver. This technology enhances fleet management and safety. GlobalData’s report on Lytx 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 Lytx, Usage monitoring vehicle telematics was a key innovation area identified from patents. Lytx's grant share as of January 2024 was 74%. Grant share is based on the ratio of number of grants to total number of patents.
Determining driver of vehicle based on data
A recently granted patent (Publication Number: US11851070B1) discloses a system designed to determine the most likely driver associated with an anomalous event on a route by analyzing vehicle data and driver location data. The system includes an interface to receive vehicle data and driver location data, and a processor to determine a likely pool of drivers based on this data. By processing the vehicle data and likely pool of drivers using a model that includes face data and other relevant information, the system can identify the most probable driver involved in the event. The model can be selected based on different subsets of face data, such as data captured in regions where facial recognition is allowed, and may utilize machine learning, neural network, or artificial intelligence algorithms.
The system's capabilities extend to analyzing various types of vehicle data, including location data, dynamic maneuver data, static behavior data, face data, sensor data, and historical data. It can also consider historical driver schedules and routes, as well as real-time driver location data to determine the likely pool of drivers. Additionally, the model used by the system can take into account historical traffic data and operate as an offline process. The patent also covers a method and a computer program product embodying the system's functionalities, providing a comprehensive solution for identifying the most likely driver associated with an anomalous event based on vehicle and driver data analysis.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
