ACV Auctions. has filed a patent for devices and methods to capture vehicle undercarriage images using a mirror assembly to reflect images into a camera’s field of view. The technology reconstructs composite images for analysis to identify features. No specific claims are listed in the patent. GlobalData’s report on ACV Auctions gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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 January 2024 was 24%. Grant share is based on the ratio of number of grants to total number of patents.

Vehicle undercarriage image capture device and method

Source: United States Patent and Trademark Office (USPTO). Credit: ACV Auctions Inc

A recently filed patent (Publication Number: US20230388442A1) describes a method and system for identifying irregularities in the undercarriage of a vehicle using image analysis technology. The method involves capturing a series of images of the undercarriage as the vehicle passes over a mirror assembly, generating a composite image, and applying a trained neural network to extract features indicative of irregularities such as rust, aftermarket modifications, removal of catalytic converters, or frame damage. The neural network is trained on a dataset of undercarriage images with tags indicating various irregularities, allowing for accurate identification of issues.

Furthermore, the patent details a method for specifically analyzing images to determine if a catalytic converter has been removed from a vehicle. By utilizing a trained machine learning model, such as a deep convolutional neural network, the system can extract features from the composite image that indicate the absence of a catalytic converter. This information is then used to generate a vehicle condition report, which can be transmitted to other devices for further action. The system described in the patent includes computer hardware processors and storage mediums containing instructions for executing the image analysis process, making it a comprehensive solution for identifying undercarriage irregularities efficiently and accurately.

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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.