CalAmp has patented a system for crash determination using vehicle telematics devices. The system analyzes sensor data to calculate peak resultant data and generate crash score data, transmitting it to a remote server for further analysis. This technology aims to improve crash detection and response in vehicles. GlobalData’s report on CalAmp 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 CalAmp, Vehicle fault diagnosis automation was a key innovation area identified from patents. CalAmp's grant share as of May 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Crash determination system for vehicles using sensor data
A recently granted patent (Publication Number: US11997439B2) discloses a system for crash determination that involves a vehicle telematics device and a remote server. The vehicle telematics device, equipped with an accelerometer, processor, and memory, collects sensor data, performs a first stage analysis to calculate peak resultant data indicative of vehicle acceleration, generates crash score data based on this information and a set of crash curve data, and transmits relevant data to the remote server upon detecting a potential crash. The remote server, in turn, conducts a second stage analysis to determine a resultant change in velocity and generates crash occurred data if the change exceeds a specified threshold. The system aims to enhance crash detection capabilities by utilizing vehicle-specific data and analysis.
Furthermore, the patent outlines a method for crash determination that mirrors the system's functionality. The method involves obtaining sensor data from the vehicle's accelerometer, analyzing it to calculate peak resultant data and generate crash score data based on vehicle-specific parameters, and transmitting this information to a remote server for further analysis. The remote server then assesses the data to determine if a crash has occurred based on the resultant change in velocity. By dynamically determining crash curve data based on the vehicle's class and utilizing thresholds tailored to the vehicle's location and characteristics, the system and method offer a comprehensive approach to crash detection. This innovative technology could potentially revolutionize how crashes are identified and responded to in vehicles equipped with the described telematics device.
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