Rovco has been granted a patent for a subsea computing device that combines object detection and 3D reconstruction for video analysis in harsh environments. The device uses multiple processors to identify objects, assign labels, and create 3D models, enhancing imaging systems for subsea applications. GlobalData’s report on Rovco 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 Rovco, AI-assisted motion artefact reduction was a key innovation area identified from patents. Rovco's grant share as of February 2024 was 27%. Grant share is based on the ratio of number of grants to total number of patents.
Subsea computing device for video object detection
A subsea computing device for subsea video object detection has been granted a patent. The device includes a first data processor for object detection, a second data processor for 3D reconstruction, and an object mapper to map labels to 3D models. The device also features two cameras with overlapping fields of view, allowing for comprehensive image capture and processing. Additionally, the device includes a data link between the processors for efficient data transmission, making it suitable for imaging in harsh underwater environments.
Furthermore, the patent also covers a subsea vehicle equipped with the subsea computing device. The vehicle includes the same components as the computing device, enabling it to perform object detection and 3D reconstruction underwater. The method outlined in the patent involves receiving images, detecting objects, assigning labels, and developing 3D models. The process includes capturing images from multiple viewpoints and utilizing a data link for seamless communication between processors. This innovative technology is designed to enhance subsea video object detection capabilities, particularly in challenging underwater conditions, showcasing advancements in subsea imaging technology.
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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.
