Patents by Inventor SACHIN GODSE

SACHIN GODSE 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).

  • Hybrid graphics processor-field programmable gate array system
    Patent number: 11393211
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Grant
    Filed: February 11, 2021
    Date of Patent: July 19, 2022
    Assignee: Intel Corporation
    Inventors: Mayuresh M. Varerkar, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Sachin Godse, Farshad Akhbari, Narayan Srinivasa, Altug Koker, Nadathur Rajagopalan Satish, Dukhwan Kim, Feng Chen, Abhishek R. Appu, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Vasanth Ranganathan, Sanjeev Jahagirdar
  • PERSON TRACKING AND PRIVACY AND ACCELERATION OF DATA USING AUTONOMOUS MACHINES
    Publication number: 20210264163
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Application
    Filed: February 11, 2021
    Publication date: August 26, 2021
    Applicant: Intel Corporation
    Inventors: Mayuresh M. Varerkar, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Sachin Godse, Farshad Akhbari, Narayan Srinivasa, Altug Koker, Nadathur Rajagopalan Satish, Dukhwan Kim, Feng Chen, Abhishek R. Appu, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Vasanth Ranganathan, Sanjeev Jahagirdar
  • Person tracking and privacy and acceleration of data using autonomous machines
    Patent number: 10922553
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Grant
    Filed: April 9, 2019
    Date of Patent: February 16, 2021
    Assignee: INTEL CORPORATION
    Inventors: Mayuresh M. Varerkar, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Sachin Godse, Farshad Akhbari, Narayan Srinivasa, Altug Koker, Nadathur Rajagopalan Satish, Dukhwan Kim, Feng Chen, Abhishek R. Appu, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Vasanth Ranganathan, Sanjeev Jahagirdar
  • PERSON TRACKING AND PRIVACY AND ACCELERATION OF DATA USING AUTONOMOUS MACHINES
    Publication number: 20190332869
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Application
    Filed: April 9, 2019
    Publication date: October 31, 2019
    Applicant: Intel Corporation
    Inventors: MAYURESH M. VARERKAR, BARNAN DAS, NARAYAN BISWAL, STANLEY J. BARAN, GOKCEN CILINGIR, NILESH V. SHAH, ARCHIE SHARMA, SHERINE ABDELHAK, SACHIN GODSE, FARSHAD AKHBARI, NARAYAN SRINIVASA, ALTUG KOKER, NADATHUR RAJAGOPALAN SATISH, DUKHWAN KIM, FENG CHEN, ABHISHEK R. APPU, JOYDEEP RAY, PING T. TANG, MICHAEL S. STRICKLAND, XIAOMING CHEN, ANBANG YAO, TATIANA SHPEISMAN, VASANTH RANGANATHAN, SANJEEV JAHAGIRDAR
  • Person tracking and privacy and acceleration of data using autonomous machines
    Patent number: 10303953
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: May 28, 2019
    Assignee: INTEL CORPORATION
    Inventors: Mayuresh M. Varerkar, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Sachin Godse, Farshad Akhbari, Narayan Srinivasa, Altug Koker, Nadathur Rajagopalan Satish, Dukhwan Kim, Feng Chen, Abhishek R. Appu, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Vasanth Ranganathan, Sanjeev Jahagirdar
  • PERSON TRACKING AND PRIVACY AND ACCELERATION OF DATA USING AUTONOMOUS MACHINES
    Publication number: 20180300556
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Application
    Filed: April 17, 2017
    Publication date: October 18, 2018
    Applicant: Intel Corporation
    Inventors: MAYURESH M. VARERKAR, BARNAN DAS, NARAYAN BISWAL, STANLEY J. BARAN, GOKCEN CILINGIR, NILESH V. SHAH, ARCHIE SHARMA, SHERINE ABDELHAK, SACHIN GODSE, FARSHAD AKHBARI, NARAYAN SRINIVASA, ALTUG KOKER, NADATHUR RAJAGOPALAN SATISH, DUKHWAN KIM, FENG CHEN, ABHISHEK R. APPU, JOYDEEP RAY, PING T. TANG, MICHAEL S. STRICKLAND, XIAOMING CHEN, ANBANG YAO, TATIANA SHPEISMAN, Vasanth Ranganathan, Sanjeev Jahagirdir