Patents by Inventor Dilip A. Kumar

Dilip A. Kumar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10974953
    Abstract: This disclosure describes, in part, embodiments of a material dispenser configured to dispense material while tracking an amount of dispensed material and messaging to a user, in near-real-time, the amount of dispensed materials, a running cost of the dispensed materials, and/or the like. The material dispenser may include one or more weight sensors to track an amount of dispensed material and a display to indicate to a user a running amount of material that has been dispensed and a running cost to the user.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: April 13, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Christopher Robert Towers, Sridhar Boyapati, Dilip Kumar, Gianna Lise Puerini, Jason Michael Famularo
  • Patent number: 10949804
    Abstract: This disclosure describes a system for managing inventory as it transitions into a materials handling facility, as it transitions between locations within a materials handling facility and/or as it transitions out of a materials handling facility. In some instances, a user (e.g., picker or picking agent) may retrieve an item from an inventory location and place the item into a tote. The systems described herein detect the item when it is added to or removed from the tote.
    Type: Grant
    Filed: May 24, 2013
    Date of Patent: March 16, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Varadarajan Gopalakrishnan, Subram Narasimhan, Omar FawazHashim Zakaria, Dilip Kumar, Sridhar Boyapati, Jin Dong Kim
  • Patent number: 10902280
    Abstract: The presence of an object in a query image may be searched for using a feature of the query image. A local descriptor value for the feature is first determined. Previously stored object data for various 3D objects is then retrieved, with each set of stored object data including a probability distribution that describes a feature of a 3D object as obtained from images at different camera poses. A probability value is then determined using the local descriptor value for the feature in the query image and the available distribution data from the stored object data. The distribution data is then ranked based on the resulting probability values and the highest ranked distribution data is associated with the feature in the query image. Output data may also be generated to identify the 3D object in the query image based on an object identifier of the highest ranked distribution data.
    Type: Grant
    Filed: July 2, 2019
    Date of Patent: January 26, 2021
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Gang Hua, Li Guan, Dilip Kumar, Gerard Guy Medioni
  • Patent number: 10872221
    Abstract: A non-contact biometric identification system includes a hand scanner that generates images of a user's palm. Images are acquired using light of a first polarization at a first time that show surface characteristics such as wrinkles in the palm while images acquired using light of a second polarization at a second time show deeper characteristics such as veins. Within the images, the palm is identified and subdivided into sub-images. The sub-images are subsequently processed to determine feature vectors present in each sub-image. A current signature is determined using the feature vectors. A user may be identified based on a comparison of the current signature with a previously stored reference signature that is associated with a user identifier.
    Type: Grant
    Filed: June 21, 2018
    Date of Patent: December 22, 2020
    Assignee: AMAZON TECHNOLOGIES, INC
    Inventors: Dilip Kumar, Manoj Aggarwal, George Leifman, Gerard Guy Medioni, Nikolai Orlov, Natan Peterfreund, Korwin Jon Smith, Dmitri Veikherman, Sora Kim
  • Patent number: 10860976
    Abstract: This disclosure describes a system for managing inventory as it transitions into a materials handling facility, as it transitions between locations within a materials handling facility and/or as it transitions out of a materials handling facility. In some instances, a user (e.g., picker or picking agent) may retrieve an item from an inventory location and place the item into a tote. The systems described herein detect the item when it is added to or removed from the tote.
    Type: Grant
    Filed: May 24, 2013
    Date of Patent: December 8, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Varadarajan Gopalakrishnan, Subram Narasimhan, Omar FawazHashim Zakaria, Dilip Kumar, Sridhar Boyapati, Jin Dong Kim
  • Publication number: 20200364295
    Abstract: Methods, apparatus, systems and articles of manufacture to generate regex and detect data similarity are disclosed. An example apparatus includes a token graph generator to generate a token graph including nodes based on a cluster of strings corresponding to a group of messages that are known to be spam; a pivot engine to identify pivot nodes in the cluster of strings; a pivot applicator to tag corresponding ones of the nodes of the token graph as the pivot nodes; and a regex converter to generate the anti-spam signature based on: (a) the tagged nodes and (b) at least one of the node of the token graph that is not tagged as a pivot node.
    Type: Application
    Filed: June 25, 2019
    Publication date: November 19, 2020
    Inventors: Paras Nigam, Dilip Kumar Gudimetla
  • Patent number: 10824636
    Abstract: Computer implemented techniques for storage management include receiving a query from an application within an application level, which is received as a standard syntax wrapped query language query, with the standard syntax wrapped query having as a parameter, an identifier to a specific object, determining a platform type on which the received query is executable and translating the standard syntax wrapped query language query into the determined native query language used by the determined data storage platform type.
    Type: Grant
    Filed: May 27, 2015
    Date of Patent: November 3, 2020
    Assignee: Kaseya International Limited
    Inventors: Mark Fischer, Prakash Khot, Dilip Kumar Vedula, Tong Zhao, Siva Prakash Ragavan, Joseph Paquette
  • Publication number: 20200303075
    Abstract: The present invention provides a method for predicting occurrence of a chronic diseases in a patient at an early stage using a trained Deep Neural Network (DNN) using the patient's routine or preventive pathological test result data. The invention collects the past routine/preventive laboratory test results diagnosed with the chronic disease and trained a DNN using the labelled data. The embodiment of present invention that warning or predicting of a chronic disease in a patient comprising the steps of Collecting the patient's historical routine/preventive pathological test result data who are suffering from a chronic diseases; Pre-processing of collected data; training a Deep Neural Network (DNN) with the preprocessed data and feed a new patient similar set of routine/preventive pathological test result data to provide an estimate of the early detection of a chronic diseases.
    Type: Application
    Filed: March 18, 2019
    Publication date: September 24, 2020
    Inventors: Kundan Krishna, Naveen Koul, Dilip Kumar Maurya, Shivata Chowdhry
  • Patent number: 10733450
    Abstract: Multiple video files that are captured by calibrated imaging devices may be annotated based on a single annotation of an image frame of one of the video files. An operator may enter an annotation to an image frame via a user interface, and the annotation may be replicated from the image frame to other image frames that were captured at the same time and are included in other video files. Annotations may be updated by the operator and/or tracked in subsequent image frames. Predicted locations of the annotations in subsequent image frames within each of the video files may be determined, e.g., by a tracker, and a confidence level associated with any of the annotations may be calculated. Where the confidence level falls below a predetermined threshold, the operator may be prompted to delete or update the annotation, or the annotation may be deleted.
    Type: Grant
    Filed: March 4, 2019
    Date of Patent: August 4, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Roman Goldenberg, Gerard Guy Medioni, Ofer Meidan, Ehud Benyamin Rivlin, Dilip Kumar
  • Patent number: 10733565
    Abstract: Described is an interactive data processing system configured to facilitate selection by a human associate of tentative values generated by an automated system from sensor data. In one implementation, an event may take place in a materials handling facility. The event may comprise a pick or place of an item from an inventory location, movement of a user, and so forth. The sensor data associated with the event is processed by an automated system to determine tentative values associated with the event. In some situations, an uncertainty may exist as to which of the tentative values accurately reflects the actual event. The sensor data and tentative values may be provided to a human associate. The associate may select one of the tentative values. The selected tentative value and the sensor data may be used to train the automated system.
    Type: Grant
    Filed: September 30, 2014
    Date of Patent: August 4, 2020
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Christopher Andrew Stephens, Alexander Clark Prater, Alexander Michael McNamara, Sridhar Boyapati, David Echevarria Ignacio, David William Bettis, Korwin Jon Smith, Kevin Alexander Lee, Aaron Craig Thompson, Gary Paolo Raden, Sudarshan Narasimha Raghavan, Dilip Kumar, Félix Joseph Étienne Pageau
  • Patent number: 10713614
    Abstract: This disclosure describes a system for processing an image of an item and correctly identifying the item from a group of candidate items. In one implementation, as item image information for a new item is added to an item images data store, a determination is made as to the weight of the item represented by the image, and the item may be associated with a weight class. Each weight class represents items within a defined weight range. Item image information for items in the same weight class may then be used when new items are added to inventory and/or when identifying an item represented in an image.
    Type: Grant
    Filed: March 25, 2014
    Date of Patent: July 14, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Ohil Krishnamurthy Manyam, Minmin Chen, Liefeng Bo, Xiaofeng Ren, Dilip Kumar
  • Patent number: 10699421
    Abstract: The motion of objects within a scene may be detected and tracked using digital (e.g., visual and depth) cameras aligned with fields of view that overlap at least in part. Objects may be identified within visual images captured from the scene using a tracking algorithm and correlated to point clouds or other depth models generated based on depth images captured from the scene. Once visual aspects (e.g., colors or other features) of objects are correlated to the point clouds, shapes and/or positions of the objects may be determined and used to further train the tracking algorithms to recognize the objects in subsequently captured frames. Moreover, a Kalman filter or other motion modeling technique may be used to enhance the prediction of a location of an object within subsequently captured frames.
    Type: Grant
    Filed: March 29, 2017
    Date of Patent: June 30, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Boris Cherevatsky, Roman Goldenberg, Gerard Guy Medioni, Ofer Meidan, Ehud Benyamin Rivlin, Dilip Kumar
  • Patent number: 10673956
    Abstract: According to one embodiment of the present invention, a system comprises at least one processor and controls an application session. The system suspends a first application session of a first user conducted for an application on a computing device. A second application session is established for a second different user from the first application session and conducted on the computing device for the same application. The second application session is associated with a set of conditions for terminating the second application session. The second application session is terminated in response to occurrence of the set of associated conditions. The first application session is resumed in response to termination of the second application session. Embodiments of the present invention further include a method and computer program product for controlling an application session in substantially the same manner described above.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: June 2, 2020
    Assignee: International Business Machines Corporation
    Inventors: Rajmeet S. Bal, Dilip Kumar, Megha Mittal, Siddharth Saraya, Chitresh Sirohi
  • Patent number: 10670334
    Abstract: A cryogenic technology for the cost-efficient capture of each known component of emissions, such as carbon dioxide, sulfur oxides, nitrogen oxides, carbon monoxide, any other acid vapor, mercury, steam, in a liquefied or frozen/solidified form, and unreacted nitrogen (gas) from industrial plants, such that each of the components is captured separately with minimum use of energy and is industrially useful.
    Type: Grant
    Filed: March 7, 2018
    Date of Patent: June 2, 2020
    Inventors: Dilip Kumar De, Idowu Ayodele Oduniyi
  • Patent number: 10666740
    Abstract: According to one embodiment of the present invention, a system comprises at least one processor and controls an application session. The system suspends a first application session of a first user conducted for an application on a computing device. A second application session is established for a second different user from the first application session and conducted on the computing device for the same application. The second application session is associated with a set of conditions for terminating the second application session. The second application session is terminated in response to occurrence of the set of associated conditions. The first application session is resumed in response to termination of the second application session. Embodiments of the present invention further include a method and computer program product for controlling an application session in substantially the same manner described above.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: May 26, 2020
    Assignee: International Business Machines Corporation
    Inventors: Rajmeet S. Bal, Dilip Kumar, Megha Mittal, Siddharth Saraya, Chitresh Sirohi
  • Patent number: 10657411
    Abstract: This disclosure describes a system for utilizing multiple image processing techniques to identify an item represented in an image. In some implementations, one or more image processing algorithms may be utilized to process a received image to generate item image information and compare the item image information with stored item image information to identify the item. When a similarity score identifying the similarity between the item image information and at least one of the stored item image information is returned, a determination may be made as to whether the similarity score is high enough to confidently identify the item. If it is determined that the similarity score is high enough to confidently identify the item, the other algorithms may be terminated and the determined identity of the item returned.
    Type: Grant
    Filed: March 25, 2014
    Date of Patent: May 19, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Ohil Krishnamurthy Manyam, Minmin Chen, Liefeng Bo, Xiaofeng Ren, Dilip Kumar
  • Patent number: 10635666
    Abstract: Embodiments relate to a system, method, and device for index compilation to optimize index. Once a CREATE INDEX commands is fired, a first check determines if the user requested has to compile this index. If the index is to be compiled, a corresponding C-file is generated, and a DLL is generated out of the C-file. The DLL is then loaded with server. An INDEX DLL is natively compiled and generated corresponding to each INDEX during definition. The INDEX DLL will contain the required structure and method to perform on INDEX, based on the indexed column data-type.
    Type: Grant
    Filed: July 24, 2017
    Date of Patent: April 28, 2020
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Kumar Rajeev Rastogi, Dilip Kumar, Nirmala Sreekantaiah
  • Patent number: 10613791
    Abstract: Protecting data stored on a storage system through the use of different storage levels, including: creating a snapshot of a dataset stored on a storage system, wherein the snapshot includes user data and metadata, and wherein the metadata describes the storage layout of the dataset, offloading the snapshot to a first storage level storage system, and migrating, in accordance with a lifecycle policy, the snapshot from the first storage level storage system onto a second storage level storage system.
    Type: Grant
    Filed: June 11, 2018
    Date of Patent: April 7, 2020
    Assignee: Pure Storage, Inc.
    Inventors: Dirk Meister, Omer Asad, Yisha Zhao, Subramaniam Periyagaram, Dilip Kumar Uppugandla
  • Publication number: 20200105262
    Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Accordingly, the embodiments herein provide a method for managing operations of an electronic device. The method includes transmitting an input signal corrupted by noise to a trained model with a plurality of output states. Further, the method includes dynamically determining an entropy for the plurality of output states of the trained model. Further, the method includes determining whether the entropy exceeds a pre-defined threshold.
    Type: Application
    Filed: March 19, 2018
    Publication date: April 2, 2020
    Inventors: Thanda ABHINAV, Dilip Kumar MARGAM, Rohith Chandrashekhar ARALIKATTI, Shankar Mosur VENKATESAN, Tanay SHARMA
  • Patent number: 10544780
    Abstract: A method for controlling a wind power plant, the wind power plant including a plant controller for controlling a plurality of wind turbine generators. The method for controlling a wind power plant allows the wind power plant to continue operating through a grid fault in a weak grid environment. In the method, a fault recovery process is carried out with a wind turbine power controller during a wind turbine fault recovery state to determine a grid voltage (VWTG), compare the grid voltage to a predetermined reference voltage (Vref) to obtain a difference value, and determine a current reference (QrefVC) based on the difference value for generating a reactive current (Idref) for regulating the grid voltage to the predetermined reference grid voltage. A corresponding wind power plant is further provided.
    Type: Grant
    Filed: September 26, 2014
    Date of Patent: January 28, 2020
    Assignee: Vestas Wind Systems A/S
    Inventors: Manoj Gupta, Amit Kumar Gupta, Dilip Kumar Guru