CalAmp‘s patent involves a telematics server analyzing accelerometer data from a vehicle to determine driver efficiency scores based on acceleration patterns. The system compares scores to a reference and notifies based on predefined relationships. This technology aims to improve driver performance and safety. 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 January 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Driver efficiency monitoring system using accelerometer data
A recently granted patent (Publication Number: US11881064B2) discloses a telematics server designed to determine driver efficiency by analyzing accelerometer data received from a telematics device installed in a vehicle. The server includes a driver efficiency analyzer that calculates a driver efficiency score based on the average absolute acceleration of the vehicle over a specific time period. This score is then compared to a reference efficiency score, and a notification is generated if the driver's efficiency meets certain criteria. The server can also transmit this notification to the telematics device, prompting the generation of an alert for the driver.
Furthermore, the telematics server can determine a driver rank based on the efficiency score compared to other drivers, assign the driver to a different vehicle based on their efficiency, and even calculate rewards for the driver. The server can also analyze route information to determine efficiency scores specific to a particular route, allowing for personalized feedback and optimization. The patent also covers a method and computer-readable storage media containing instructions for the telematics server to perform these functions efficiently and accurately, providing a comprehensive system for evaluating and improving driver efficiency in real-time.
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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.
