CalAmp has been granted a patent for a vehicle telematics system that determines crash likelihood using sensor data. The system calculates a crash score based on vehicle acceleration and transmits data to a remote server for further analysis, confirming if a crash has occurred. GlobalData’s report on CalAmp gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on CalAmp, Vehicle fault diagnosis automation was a key innovation area identified from patents. CalAmp's grant share as of June 2024 was 67%. Grant share is based on the ratio of number of grants to total number of patents.

Vehicle crash determination system using telematics and sensors

Source: United States Patent and Trademark Office (USPTO). Credit: CalAmp Corp

The patent US11997439B2 describes a sophisticated system and method for crash determination utilizing a vehicle telematics device and a remote server. The telematics device, equipped with an accelerometer, processes sensor data to perform a first stage analysis that calculates peak resultant acceleration over a specified time period. This data is used to generate a crash score, which indicates the likelihood of a crash based on the vehicle's class and the sensor data. If the crash score exceeds a predetermined threshold, the device transmits the sensor and vehicle identification data to a remote server. The server then conducts a second stage analysis to calculate resultant change in velocity and determines if a crash has occurred based on this data.

The system includes specific calculations for both peak resultant acceleration and resultant change in velocity, taking into account both forward and lateral vectors. Additionally, the telematics device can dynamically determine crash curve data based on the vehicle's class, which may include factors such as height, length, or wheelbase. The method also outlines the sequence of data transmission and analysis, ensuring that the vehicle identification data is sent prior to generating the crash score. This innovative approach aims to enhance the accuracy and reliability of crash detection, potentially improving response times and safety measures in the event of a vehicle collision.

To know more about GlobalData’s detailed insights on CalAmp, buy the report here.

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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.