Lytx. has filed a patent for a collision detection system involving sensor data preprocessing and a compound model to generate a collision score. The system aims to enhance safety measures by accurately detecting potential collisions. 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.
Collision detection system using sensor data preprocessing and compound model
The patent application (Publication Number: US20240037959A1) describes a system for collision detection that includes an interface to receive sensor data from various sensors and a processor to preprocess the data using filtering, normalization, and alignment steps. The preprocessed data is then processed using a compound model to generate a collision score, which can indicate the likelihood of a crash. The system can also determine collision severity and provide actionable insights based on the collision score, such as initiating emergency calls or notifying relevant parties.
Furthermore, the system incorporates various types of sensors like accelerometers, gyroscopes, GPS, and audio sensors to gather comprehensive data for collision detection. The compound model used includes neural network, machine learning, and deep learning models to enhance the accuracy of collision predictions. Additionally, the preprocessing steps involve techniques like bias removal, subsampling, and spectrogramming to ensure the data is effectively analyzed. The system can provide detailed reports, initiate emergency responses, and assist in decision-making processes based on the collision score generated. Overall, the patent application outlines a sophisticated system for collision detection that leverages advanced technologies and sensor data processing methods to improve road safety and response mechanisms in case of accidents.
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