ACV Auctions. has been granted a patent for a system that captures and processes vehicle engine audio data. The system utilizes a mobile device to record engine sounds, associates metadata, and employs a server to analyze the audio, identifying engine conditions and confidence values through a communication network. GlobalData’s report on ACV Auctions 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 ACV Auctions, Social media analytics was a key innovation area identified from patents. ACV Auctions's grant share as of July 2024 was 37%. Grant share is based on the ratio of number of grants to total number of patents.
Vehicle engine condition identification using audio recordings
The patent US12062257B2 describes a system designed to identify engine conditions in vehicles through audio recordings captured during engine operation. The system utilizes at least one processor and a non-transitory computer-readable storage medium containing executable instructions. These instructions enable the system to obtain audio recordings of the engine across various operational segments, such as starting, idling, and shutting off. Additionally, the system collects metadata, including the vehicle identification number, and transmits this data via a communication network to a processing computer. The processing involves identifying engine conditions and generating confidence values that indicate the likelihood of detecting specific conditions, such as engine ticks or knocks.
The system also incorporates machine learning techniques, specifically deep convolutional neural networks, to analyze the audio recordings. It processes the audio data into spectrograms or Mel spectrograms, which serve as inputs for the machine learning models. The system can segment the audio recordings into distinct segments corresponding to different engine operations, enhancing the accuracy of condition identification. Furthermore, the patent outlines the potential integration of mobile devices equipped with microphones to facilitate audio capture and condition reporting. Overall, the system aims to provide a reliable method for diagnosing engine issues based on sound analysis, leveraging advanced computational techniques and real-time data transmission.
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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.
