Ambarella‘s patent involves an apparatus with a processor and interface to process pixel data from a capture device, perform computer vision to detect objects, and generate calibration signals based on object classification. The technology adjusts sensor parameters to improve object detection accuracy within specific zones. GlobalData’s report on Ambarella 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 Ambarella, Cloud gaming was a key innovation area identified from patents. Ambarella's grant share as of February 2024 was 91%. Grant share is based on the ratio of number of grants to total number of patents.
Object detection and sensor calibration system
A recently granted patent (Publication Number: US11922697B1) discloses an innovative apparatus designed to enhance object detection capabilities through computer vision operations. The apparatus includes an interface to receive pixel data from a capture device and an activation signal from activation sensors. A processor processes the pixel data as video frames, detects objects, classifies them based on characteristics, and generates control signals for the capture device. In cases where a match is not detected between the classification and a predetermined object class, a calibration signal is generated to adjust the operating parameters of the activation sensors. The apparatus aims to improve accuracy by adjusting sensor parameters automatically without user intervention.
The apparatus further refines its functionality by utilizing a plurality of activation sensors, such as passive infrared or radar sensors, to cover specific zones within the field of view of the capture device. By adjusting parameters like sensor range and sensitivity, false positive detections can be minimized, enhancing overall performance. Additionally, the apparatus can switch between low power and image capture modes based on the activation signal, conserving battery life while ensuring efficient operation during detection tasks. The processor's ability to independently manage sensor parameters for each zone based on object locations within the field of view demonstrates a sophisticated approach to optimizing object detection and classification processes.
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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.
