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公开(公告)号:US20240089592A1
公开(公告)日:2024-03-14
申请号:US18466296
申请日:2023-09-13
发明人: Kunal Rao , Sibendu Paul , Giuseppe Coviello , Murugan Sankaradas , Oliver Po , Srimat Chakradhar
摘要: Systems and methods are provided for dynamically tuning camera parameters in a video analytics system to optimize analytics accuracy. A camera captures a current scene, and optimal camera parameter settings are learned and identified for the current scene using a Reinforcement Learning (RL) engine. The learning includes defining a state within the RL engine as a tuple of two vectors: a first representing current camera parameter values and a second representing measured values of frames of the current scene. Quality of frames is estimated using a quality estimator, and camera parameters are adjusted based on the quality estimator and the RL engine for optimization. Effectiveness of tuning is determined using perceptual Image Quality Assessment (IQA) to quantify a quality measure. Camera parameters are adaptively tuned in real-time based on learned optimal camera parameter settings, state, quality measure, and set of actions, to optimize the analytics accuracy for video analytics tasks.
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公开(公告)号:US20230048581A1
公开(公告)日:2023-02-16
申请号:US17885115
申请日:2022-08-10
IPC分类号: G06F9/54
摘要: Methods and systems for executing an application include extending a container orchestration system application programming interface (API) to handle objects that specify components of an application. An application representation is executed using the extended container orchestration system API, including the instantiation of one or more services that define a data stream path from a sensor to a device.
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公开(公告)号:US20220374259A1
公开(公告)日:2022-11-24
申请号:US17730499
申请日:2022-04-27
发明人: Kunal Rao , Murugan Sankaradas , Srimat Chakradhar
IPC分类号: G06F9/48
摘要: A method for specifying and executing an application including multiple microservices on 5G slices within a multi-tiered 5G infrastructure is presented. The method includes managing compute requirements and network requirements of the application simultaneously by determining end-to-end application characteristics by employing an application slice specification including an application ID component, an application name component, an application metadata component, a function dependencies component, a function instances component, and an instance connections component, specifying a function slice specification including a function network slice specification and a function compute slice specification, and employing a runtime component including a resource manager, an application slice controller, and an application slice monitor, wherein the resource manager maintains a database and manages starting, stopping, updating, and deleting application instances.
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公开(公告)号:US11354935B2
公开(公告)日:2022-06-07
申请号:US16810061
申请日:2020-03-05
摘要: A computer-implemented method for emulating an object recognizer includes receiving testing image data, and emulating, by employing a first object recognizer, a second object recognizer. Emulating the second object recognizer includes using the first object recognizer to perform object recognition on a testing object from the testing image data to generate data, the data including a feature representation for the testing object, and classifying the testing object based on the feature representation and a machine learning model configured to predict whether the testing object would be recognized by a second object recognizer. The method further includes triggering an action to be performed based on the classification.
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公开(公告)号:US20210378520A1
公开(公告)日:2021-12-09
申请号:US17325613
申请日:2021-05-20
发明人: Kunal Rao , Giuseppe Coviello , Min Feng , Biplob Debnath , Wang-pin Hsiung , Murugan Sankaradas , Srimat Chakradhar , Yi Yang , Oliver Po , Utsav Drolia
摘要: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.
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公开(公告)号:US20200293758A1
公开(公告)日:2020-09-17
申请号:US16810061
申请日:2020-03-05
摘要: A computer-implemented method for emulating an object recognizer includes receiving testing image data, and emulating, by employing a first object recognizer, a second object recognizer. Emulating the second object recognizer includes using the first object recognizer to perform object recognition on a testing object from the testing image data to generate data, the data including a feature representation for the testing object, and classifying the testing object based on the feature representation and a machine learning model configured to predict whether the testing object would be recognized by a second object recognizer. The method further includes triggering an action to be performed based on the classification.
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公开(公告)号:US20230385116A1
公开(公告)日:2023-11-30
申请号:US18322102
申请日:2023-05-23
发明人: Kunal Rao , Wang-pin Hsiung , Oliver Po , Murugan Sankaradas , Srimat Chakradhar , Anousheh Gholami
CPC分类号: G06F9/5038 , G06N20/00 , G06F9/5083
摘要: Methods and systems for reserving resources include determining a state of a distributed computing system based on resource needs of an application that is executed on the distributed computing system and system resource constraints. An action is determined using the state of the distributed computing system as an input to a trained reinforcement learning model. A resource request is issued for the application to reserve resources based on the action.
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公开(公告)号:US20220114380A1
公开(公告)日:2022-04-14
申请号:US17494979
申请日:2021-10-06
发明人: Murugan Sankaradas , Kunal Rao , Yi Yang , Biplob Debnath , Utsav Drolia , Srimat Chakradhar , Amit Redkar , Ravi Kailasam Rajendran
摘要: A method for real-time cross-spectral object association and depth estimation is presented. The method includes synthesizing, by a cross-spectral generative adversarial network (CS-GAN), visual images from different data streams obtained from a plurality of different types of sensors, applying a feature-preserving loss function resulting in real-time pairing of corresponding cross-spectral objects, and applying dual bottleneck residual layers with skip connections to accelerate real-time inference and to accelerate convergence during model training.
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公开(公告)号:US20210303870A1
公开(公告)日:2021-09-30
申请号:US17208572
申请日:2021-03-22
发明人: Yi Yang , Murugan Sankaradas , Srimat Chakradhar , Ashutosh Jain
摘要: A computer-implemented method for characterizing a crowd that includes recording a video stream of individuals at a location having at least one reference point for viewing; and extracting the individuals from frames of the video streams. The method may further include assigning tracking identification values to the individuals that have been extracted from the video streams; and measuring at least one type classification from the individuals having the tracking identification values. The method may further include generating a crowd designation further characterizing the individuals having the tracking identification values in the location, the crowd designation comprising at least one measurement of probability that the individuals having the tracking identification values in the location view the at least one reference point for viewing.
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公开(公告)号:US11132223B2
公开(公告)日:2021-09-28
申请号:US16809192
申请日:2020-03-04
发明人: Kunal Rao , Yi Yang , Srimat Chakradhar , Giuseppe Coviello , Min Feng , Murugan Sankaradas
IPC分类号: G06F9/46 , G06F9/48 , G06F9/50 , G06F9/30 , G06F9/4401
摘要: A computer-implemented method includes obtaining a usecase specification and a usecase runtime specification corresponding to the usecase. The usecase includes a plurality of applications each being associated with a micro-service providing a corresponding functionality within the usecase for performing a task. The method further includes managing execution of the usecase within a runtime system based on the usecase and usecase runtime specifications to perform the task by serving an on-demand query and dynamically scaling resources based on the on-demand query, including using a batch helper server to employ the usecase specification to load dynamic application instances and connect the dynamic application instances to existing instances, and employ a batch helper configuration to load nodes/machines for execution of the on-demand query.
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