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1.发明公开公开(公告)号：US20240185598A1
公开(公告)日：2024-06-06
申请号：US18385581
申请日：2023-10-31
发明人： Shailesh Shankar DESHPANDE , Jayantrao Mohite , Mariappan Sakkan , Suryakant Ashok Sawant , Srinivasu Pappula , Balamuralidhar Purushothaman
IPC分类号： G06V20/10 , G06Q30/018 , G06Q50/02 , G06V10/764 , G06V10/766 , G06V10/774 , G06V20/50
CPC分类号： G06V20/188 , G06Q30/018 , G06Q50/02 , G06V10/764 , G06V10/766 , G06V10/774 , G06V20/194 , G06V20/50
摘要： This disclosure relates generally to method and system to calculate net carbon sequestration for agriculture using remote sensing data. Climate change is one of the factor in sustainable development on the earth and has sparked numerous initiatives to reduce earth's carbon footprint. The disclosed method processes remote sensing data comprising one or more input images indicating one or more characteristics of at least one agriculture crop of a geographical region. The method calculates a carbon footprint value of at least one agriculture crop by obtaining a plurality of carbon values associated with the geographical region. A net carbon flux of least one agriculture crop is calculated based on the carbon footprint value, a data maturity index, and a difficulty level. The method enables growers and carbon credit purchasers to correctly determine the carbon footprint of a geographical region to accurately predict the reduction of greenhouse gas emissions reducing environmental degradation.
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2.发明授权公开(公告)号：US11790518B2
公开(公告)日：2023-10-17
申请号：US17357210
申请日：2021-06-24
发明人： Jayavardhana Rama Gubbi Lakshminarasimha , Mahesh Rangarajan , Rishin Raj , Vishnu Hariharan Anand , Vishal Bajpai , Vishwa Chethan Dandenahalli Venkatappa , Pradeep Kumar Mishra , Gourav Singh Jat , Meghala Mani , Gangadhar Shankarappa , Dinesh Sasidharan Nair , Shashank Lipate , Vineet Lall , Kavita Sara Mathew , Karthik Seemakurthy , Balamuralidhar Purushothaman
IPC分类号： G06T7/00 , G06T7/11 , G06V10/44 , G01N21/88 , G06T5/00 , G06T7/136 , G06T7/168 , G06V10/25 , G06T5/20
CPC分类号： G06T7/0006 , G01N21/8851 , G06T5/007 , G06T5/20 , G06T7/11 , G06T7/136 , G06T7/168 , G06V10/25 , G06V10/443 , G01N2021/8877 , G01N2021/8893 , G06T2207/10016
摘要： Current inspection processes employed for pipeline networks data acquisition aided with manually locating and recording defects/observations, thus leading labor intensive, prone to error and a time-consuming task thereby resulting in process inefficiencies. Embodiments of the present disclosure provide systems and methods for that leverage artificial intelligence/machine learning models and image processing techniques to automate log and data processing, reports and insights generation thereby reduce dependency on manual analysis, improve annual productivity of survey meterage and bring in process and cost efficiencies into overall asset health management for utilities, thereby enhancing accuracy in defect identification, analysis, classification thereof.
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公开(公告)号：US20230215176A1
公开(公告)日：2023-07-06
申请号：US18086321
申请日：2022-12-21
发明人： Rokkam Krishna KANTH , Akshaya Ramaswamy , Achanna Anil Kumar , Jayavardhana Rama Gubbi Lakshminarasimha , Balamuralidhar Purushothaman
IPC分类号： G06V20/40 , G06V10/82 , G06V10/774 , H04N23/80
CPC分类号： G06V20/46 , G06V10/82 , G06V10/774 , H04N23/80
摘要： This relates generally to a method and a system for spatio-temporal polarization video analysis. The spatio-temporal polarization data is analyzed for a computer vision application such as object detection, image classification, image captioning, image reconstruction or image inpainting, face recognition and action recognition. Numerous classical and deep learning methods have been applied on polarimetric data for polarimetric imaging analysis, however, the available pre-trained models may not be directly suitable on polarization data, as polarimetric data is more complex. Further compared to analysis of the polarimetric images, a significant number of actions can be detected by polarimetric videos, hence analyzing polarimetric videos is more efficient. The disclosure is a spatio-temporal analysis of polarization video. The disclosed techniques include configuring a set of parameters from the polarization video to train a spatio-temporal deep network architecture for analyzing polarimetric videos for computer vision applications.
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公开(公告)号：US11433530B2
公开(公告)日：2022-09-06
申请号：US17206426
申请日：2021-03-19
发明人： Venkatesh Prasad Bangalore Srinivas , Rajasilpi Sureshkumar Presannakumari , Pradeep Prabhakar Kamble , Venkat Raju Chintalapalli Patta , Balamuralidhar Purushothaman , Sreehari Kumar Bhogineni
摘要： This disclosure relates generally to a mobile robotic manipulator with telepresence system which includes a chassis assembly, a tilting arm assembly, and a rotary gripper assembly. The chassis assembly includes a chassis plate which mounts plurality of drive motors coupled with plurality of omni wheels through plurality of L mounting brackets; plurality of anti-toppling arms includes a plurality of linear guides which is mounted on a C mount plate; and plurality of linear actuators is mounted to expand or retract the plurality of anti-toppling arms. The tilting arm assembly includes a bottom fixed end of a front long actuator is mounted to a large rotating plate through plurality of C clamps. The rotary gripper assembly includes a top plate of a gripper is mounted and separated by gap with a bottom plate of the gripper to place a gripper actuator on top surface of the bottom plate of the gripper.
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公开(公告)号：US11361548B2
公开(公告)日：2022-06-14
申请号：US17077900
申请日：2020-10-22
摘要： This disclosure relates generally to multi instance visual tracking based on observer motion modelling. Conventional state-of-the-art methods have major challenges in dealing with the error rate, accuracy of tracking the moving objects when observer motion is also considered. Embodiments of the present disclosure provide a method for multi instance visual tracking considering the motion of observer. The method tracks moving objects in an input video comprising a set of image frames, by detecting the moving objects in each image frame. The method detects the moving objects in each image frame by calculating trifocal tensors and fundamental matrix of the previous frames. The disclosed multi instance visual tracking can be used in remote surveillance problem for tracking moving objects.
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公开(公告)号：US11269336B2
公开(公告)日：2022-03-08
申请号：US16578255
申请日：2019-09-20
摘要： Robots are used extensively in different applications so as to perform specific tasks. However, the robots are required to move around in a location where they are present, so as to perform the tasks. For path planning, free space identification is performed by the robots during which obstacles are detected and free space is identified. However, the existing systems for path planning struggle to identify free space in cluttered environments. The disclosure herein generally relates to robotic path planning, and, more particularly, to a method and system for free space detection in a cluttered environment for robotic path planning. The system inscribes obstacles in bounding boxes and all unit grids inscribed by the bounding boxes are considered as occupied. Further, by seeding the occupancy grid map, the system identifies unified segments and corresponding seeds. Further a convex expansion is executed in the occupancy grid map to detect the free space.
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7.发明申请公开(公告)号：US20220019804A1
公开(公告)日：2022-01-20
申请号：US17197316
申请日：2021-03-10
发明人： Jayavardhana Rama Gubbi Lakshminarasimha , Akshaya Ramaswamy , Balamuralidhar Purushothaman , Apama Kanakatte Gurumurthy , Avik Ghose
摘要： State of the art techniques in the domain of video analysis have limitations in terms of capability to capture spatio-temporal representation. This limitation in turn affects interpretation of video data. The disclosure herein generally relates to video analysis, and, more particularly, to a method and system for video analysis to capture spatio-temporal representation for video reconstruction and analysis. The method presents different architecture variations using three main deep network components: 2D convolution units, 3D convolution units and long short-term memory (LSTM) units for video reconstruction and analysis. These variations are trained for learning the spatio-temporal representation of the videos in order to generate a pre-trained video analysis module. By understanding the advantages and disadvantages of different architectural configurations, a novel architecture is designed for video reconstruction. Using transfer learning, the video reconstruction pre-trained model is extended to other video applications such as video object segmentation and surgical video tool segmentation.
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公开(公告)号：US10881345B2
公开(公告)日：2021-01-05
申请号：US15611953
申请日：2017-06-02
摘要： A system and method for determining a stress level of a person is provided. The system creates a numerical solution to mathematical model of a blood pressure (BP) regulation, lumped mathematical model of a radial artery and partial differential equation (PDE) model of the radial artery. These models are then used to generate an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery. The inference engine is trained using an artificial neural network technique. At the same time the PPG signal of the person is sensed and preprocessed. The preprocessed PPG signal is then given to the trained inference engine. The trained inference engine generates a stress parameter corresponding to the person based on the processed PPG signal.
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公开(公告)号：US10772569B2
公开(公告)日：2020-09-15
申请号：US15356000
申请日：2016-11-18
摘要： A device and method is provided for the detection of diabetes in a person using pulse palpation signals. The pulse palpation signal is captured from the radial artery of the person using a photo-plethysmograph (PPG) sensor. The PPG signal is then preprocessed by a processor. The preprocessed PPG signal is then analyzed by the processor to detect the peak in the PPG signal. The detected peaks are used to extract a first set of feature parameters. The first of feature parameters are compared with a second set of feature parameters, wherein the second set of feature parameters are extracted from the control group of individuals. Based on the comparison it is detected that the person is one of in normal condition, pre-diabetic condition or a diabetic condition. According to another embodiment, the invention also provides a method to determine the severity index and progression risk of diabetes in the person.
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公开(公告)号：US10692385B2
公开(公告)日：2020-06-23
申请号：US15912032
申请日：2018-03-05
摘要： The systems and methods of the present disclosure provide a path panning algorithm for fixed-wing aerial vehicles that may be employed, particularly for monitoring of long linear infrastructures. The applicants' earlier patent applications address turn angle constraints for fixed wing aerial and maintaining transmission continuity in presence of coverage holes by imposing a plurality of constraints along with storage constraints. The present disclosure addresses a technical challenge of simultaneously meeting multiple objectives; particularly distance cost and communication cost while satisfying the plurality of constraints that enable pruning of feasible paths in a 3D Euclidean navigation space to obtain a set of optimal paths for surveillance of a target under consideration.
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