Patents by Inventor Srinivas Talluri

Srinivas Talluri 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: 10878194
    Abstract: An system and a method for the detection and reporting of occupational safety incidents are disclosed. The system receives a set of digital records corresponding to reported occupational safety incidents. The system converts each of the digital records from the set of digital records into a common digital format. The system deconstructs the uniform text structure of each digital recorded by a natural language processing module to lemmatize words, remove punctuation, and remove stop words. The system creates a feature vector based on the received deconstructed uniform text structure. The system inputs each feature vector to an ensemble machine learning data model, returning a determination of a possible class or characteristic of occupational safety incident. The system applies a threshold based on a probability to the determination of a possible class. The system submits a subset of the reported occupational safety incidents to a third party system.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: December 29, 2020
    Assignee: Walmart Apollo, LLC
    Inventors: David Ferguson, Saba Beyene, Srinivas Talluri, Christopher Davis
  • Publication number: 20190180097
    Abstract: Exemplary embodiments relate systems, methods and computer readable medium for automatically processing and classifying regulatory reports. An example system includes an image processing module, an image segmentation module, a segment filtering module, a classification module and a validation module.
    Type: Application
    Filed: December 10, 2018
    Publication date: June 13, 2019
    Inventors: David Ferguson, Saba Beyene, Darren Shadduck, Srinivas Talluri
  • Publication number: 20190179889
    Abstract: An system and a method for the detection and reporting of occupational safety incidents are disclosed. The system receives a set of digital records corresponding to reported occupational safety incidents. The system converts each of the digital records from the set of digital records into a common digital format. The system deconstructs the uniform text structure of each digital recorded by a natural language processing module to lemmatize words, remove punctuation, and remove stop words. The system creates a feature vector based on the received deconstructed uniform text structure. The system inputs each feature vector to an ensemble machine learning data model, returning a determination of a possible class or characteristic of occupational safety incident. The system applies a threshold based on a probability to the determination of a possible class. The system submits a subset of the reported occupational safety incidents to a third party system.
    Type: Application
    Filed: December 11, 2018
    Publication date: June 13, 2019
    Inventors: David Ferguson, Saba Beyene, Srinivas Talluri, Christopher Davis