Placeholder comment for future editions -
Application number - 202027042917
Invention Title - SYSTEM TO DETERMINE PERFORMANCE BASED ON ENTROPY VALUES
Applicant Name - HEADSPIN, INC. (one of the companies highlighted in the report)
Abstract - A test device may include a performance module determine entropy values for images, such as of a graphical user interface, to be presented on a display device of the test device. An entropy value for an image may be indicative of a distribution of data values, such as intensity or color values for pixels in the image. Patterns of entropy values over time may be provide information indicative of performance of the test device. For example, a constant entropy value over time may indicate the graphical user interface is not changing. In another example, particular patterns of entry values over time may be indicative of presentation of wait indicators or other user interface elements. The entropy values may be used to determine data indicative of performance of the test device. This data may be stored locally, sent to an extern
al device, and so forth.
Personal comment - This is just math
Note - The registered address of the Inventors and the Applicant is in the US, not in India.
Application number - 201917008649
Invention Title - DISTRIBUTED VIDEO STORAGE AND SEARCH WITH EDGE COMPUTING
Applicant Name - NETRADYNE, INC. (one of the companies highlighted in the report)
Abstract - Systems and methods are provided for distributed video storage and search with edge computing. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.
Personal comment - This is an “X” with Edge Computing patent where X is any existing technology. There is no new “Edge Computing” hardware technology being patented here.
Note - The registered address of the Inventors and the Applicant is in the US, not in India.
Application number - 201817035717
Invention Title - ADVANCED PATH PREDICTION
Applicant Name - NETRADYNE INC.
Abstract - The present disclosure provides systems and methods for mapping a determined path of travel. The path of travel may be mapped to a camera view of a camera affixed to a vehicle. In some embodiments, the path of travel may be mapped to another view that is based on a camera, such as a bird"s eye view anchored to the camera"s position at a given time. These systems and methods may determine the path of travel by incorporating data from later points in time.
Personal comment - This is also just math (path traversal and image projection)
Note - The registered address of the Inventors and the Applicant is in the US, not in India.
Application number - 202121045732
Invention Title - ADAPTING REPORT OF NODULES
Applicant Name - Qure.ai Technologies Private Limited (one of the companies highlighted in the report)
Abstract - ABSTRACT ADAPTING REPORT OF NODULES Disclosed is a system (102) and a method for adapting a report of nodules in computed tomography (CT) scan image. A CT scan image may be resampled into a plurality of slices. A plurality of region of interests may be identified on each slice using an image processing technique. Subsequently, a plurality of nodules may be detected in each region of interest using the deep learning. Further, a plurality of characteristics associated with each nodule may be identified. The plurality of nodules may be classified into AI-confirmed nodules and AI-probable nodules based on a malignancy score. Further, feedback associated with the AI-confirmed nodules and the AI-probable may be received form a radiologist. Furthermore, data may be adapted based on the feedback. Finally, a report comprising adapted data may be generated. [To be published with Figure 1]
Personal comment - This is an “X” with AI patent where X is any existing process. This is Computer Vision (CV) + data pre-processing + object detection using supervised Machine Learning (might not even be Deep Learning) + math + maybe human-in-the-loop reinforcement learning
Application number - 202121030904
Invention Title - ACQUIRING ULTRASOUND IMAGE
Applicant Name - Qure.ai Technologies Private Limited
IP firm that helped them file the patent - photonlegal.com (also filed the above patent that was granted)
Abstract - Disclosed is a method (1000) and a system (102) for acquiring a 3D ultrasound image. The method (100) comprises receiving a request to capture a plurality of ultrasound image for a medical test corresponding to a medical condition. The method (1000) further comprises determining a body part corresponding to the medical test. Further, the method (1000) comprises identifying an imaging site particular to the medical test. Furthermore, the method (1000) comprises providing a navigational guidance to the user in real time for positioning a handheld ultrasound device. Subsequently, the user is assisted to capture the plurality of ultrasound image of the imaging site in real time using deep learning. Further, the plurality of ultrasound images of the imaging site is captured. Finally, the method (1000) comprises converting the plurality of ultrasound image to a 3-Dimensional (3D) ultrasound image in real time.
Application Refused
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