Patents by Inventor Deepanjan Paul

Deepanjan Paul 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: 10853663
    Abstract: A system includes a sensor, a weight sensor, and a tracking subsystem. The tracking subsystem receives an image feed of top-view images generated by the sensor and weight measurements from the weight sensor. The tracking subsystem detects an event associated with an item being removed from a rack in which the weight sensor is installed. The tracking subsystem determines that a first person or a second person may be associated with the event. In response to determining that the first or second person may be associated with the event, buffer frames are stored of top-view images generated by the sensor during a time period associated with the event. The tracking subsystem then determines, using at least one of the stored buffer frames and a first action-detection algorithm, whether an action associated with the event was performed by the first person or the second person.
    Type: Grant
    Filed: April 24, 2020
    Date of Patent: December 1, 2020
    Assignee: 7-Eleven, Inc.
    Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Deepanjan Paul
  • Patent number: 10783762
    Abstract: A rack for a scalable tracking system includes weight sensors disposed on shelves that hold items. The weight sensors detect the weight of the items and communicates signals indicating that weight to a circuit board positioned in the rack. The circuit board communicates these detected weights to a weight server that determines, based on these weights, whether items were removed from the shelves.
    Type: Grant
    Filed: October 25, 2019
    Date of Patent: September 22, 2020
    Assignee: 7-Eleven, Inc.
    Inventors: Deepanjan Paul, Sarath Vakacharla, Shahmeer Ali Mirza, Ryan Robert Strong
  • Patent number: 10685237
    Abstract: A system includes a sensor, a weight sensor, and a tracking subsystem. The tracking subsystem receives an image feed of top-view images generated by the sensor and weight measurements from the weight sensor. The tracking subsystem detects an event associated with an item being removed from a rack in which the weight sensor is installed. The tracking subsystem determines that a first person or a second person may be associated with the event. In response to determining that the first or second person may be associated with the event, buffer frames are stored of top-view images generated by the sensor during a time period associated with the event. The tracking subsystem then determines, using at least one of the stored buffer frames and a first action-detection algorithm, whether an action associated with the event was performed by the first person or the second person.
    Type: Grant
    Filed: February 18, 2020
    Date of Patent: June 16, 2020
    Assignee: 7-Eleven, Inc.
    Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Deepanjan Paul
  • Patent number: 10621444
    Abstract: A system includes a sensor, a weight sensor, and a tracking subsystem. The tracking subsystem receives an image feed of top-view images generated by the sensor and weight measurements from the weight sensor. The tracking subsystem detects an event associated with an item being removed from a rack in which the weight sensor is installed. The tracking subsystem determines that a first person and a second person may be associated with the event. The tracking subsystem then determines, using a first approach, whether an action associated with the event was performed by the first person or the second person. If results of the first approach do not satisfy criteria, a second approach is used to assign the action to the first or second person.
    Type: Grant
    Filed: October 25, 2019
    Date of Patent: April 14, 2020
    Assignee: 7-Eleven, Inc.
    Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Deepanjan Paul