NVIDIA had 33 patents in future of work during Q1 2024. NVIDIA Corp filed patents in Q1 2024 for calibration techniques for in-cabin monitoring systems, automated tuning of control parameters, an electronic circuit with capacitors and resistors, training deep neural networks using sensor and image data correlation, and technologies for low jitter and low power ring oscillators with multi-phase signal reassembly. GlobalData’s report on NVIDIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NVIDIA grant share with future of work as a theme is 54% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Multi-modal sensor calibration for in-cabin monitoring systems and applications (Patent ID: US20240104879A1)
The patent filed by NVIDIA Corp. describes calibration techniques for interior depth sensors and image sensors in in-cabin monitoring systems. The system involves determining transforms between different coordinate systems based on calibration targets within the interior space. These transforms enable the computation of positions of features detected by both depth-perception and optical image sensors. The calibration targets consist of fiducial point markers and motion targets on a structural substrate. The system can be used in various applications, including autonomous machines, simulation operations, deep learning, and augmented reality content generation.
The system, as described in the patent claims, involves processing units that determine transforms between intermediary coordinate systems and image or depth sensor coordinate systems based on data from calibration targets. These transforms include rotation-translation transforms and are computed using fiducial point markers and motion targets. The system can detect these targets using computer vision algorithms or machine learning techniques. Additionally, the system can generate intermediary coordinate systems based on 3D reconstructions from images of calibration targets. The processor described in the claims can be utilized in various applications, such as autonomous machines, simulation operations, and conversational AI, among others.
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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.
