Patents by Inventor Madan Mohan Chinnam
Madan Mohan Chinnam 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).
-
Publication number: 20240087144Abstract: A weight sensor includes a plurality of load cells. A first load cell is configured to produce a first electric current based on a force experienced by the first load cell. A second load cell is configured to produce a second electric current based on a force experienced by the second load cell. A third load cell is configured to produce a third electric current based on a force experienced by the third load cell. And a fourth load cell is configured to produce a fourth electric current based on a force experienced by the fourth load cell.Type: ApplicationFiled: November 16, 2023Publication date: March 14, 2024Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio, Deepanjan Paul, Fahad Mirza
-
Patent number: 11823396Abstract: A scalable tracking system includes a camera subsystem, a weight subsystem, and a central server. The camera subsystem includes cameras that capture video of a space, camera clients that determine local coordinates of objects in the captured videos, and a camera server that determines the physical positions of objects in the space based on the determined local coordinates. The weight subsystem determines when items were removed from shelves. The central server determines which object in the space removed the items based on the physical positions of the objects in the space and the determination of when items were removed.Type: GrantFiled: November 29, 2021Date of Patent: November 21, 2023Assignee: 7-ELEVEN, INC.Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio, Deepanjan Paul, Fahad Mirza
-
Patent number: 11756216Abstract: A system includes sensors and a processor that tracks first and second objects in a space. Upon detecting that a tracked position of the first object is within a threshold distance of a tracked position of a second object, a top-view image of the first object is received from a first sensor. Based on this top-view image, a first descriptor is determined for the first object. The first descriptor is associated with an observable characteristic of the first object. The processor identifies the first object based at least in part upon the first descriptor.Type: GrantFiled: May 21, 2021Date of Patent: September 12, 2023Assignee: 7-ELEVEN, INC.Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Madan Mohan Chinnam, Crystal Maung
-
Patent number: 11580748Abstract: A scalable tracking system processes video of a space to track the positions of objects within a space. The tracking system determines local coordinates for the objects within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for an object during that time window.Type: GrantFiled: February 4, 2022Date of Patent: February 14, 2023Assignee: 7-ELEVEN, INC.Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio
-
Patent number: 11580749Abstract: A scalable tracking system processes video of a space to track the positions of people within a space. The tracking system determines local coordinates for the people within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for a person during that time window.Type: GrantFiled: February 10, 2022Date of Patent: February 14, 2023Assignee: 7-ELEVEN, INC.Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio
-
Patent number: 11557124Abstract: An object tracking system that includes a sensor that is configured to capture frames of at least a portion of a global plane for a space. The system is configured to receive a first frame from the sensor, to identify a pixel location within the first frame, and to determine an estimated sensor location for the sensor by applying a homography to the pixel location. The homography includes coefficients that translate between pixel locations in a frame from the sensor and (x,y) coordinates in the global plane. The system is further configured to determine an actual sensor location for the sensor and to determine a location difference between the estimated sensor location and the actual sensor location. The system is further configured to compare the location difference to a difference threshold level and to recompute the homography in response to determining that the location difference exceeds the difference threshold level.Type: GrantFiled: November 25, 2020Date of Patent: January 17, 2023Assignee: 7-ELEVEN, INC.Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Madan Mohan Chinnam, Crystal Maung
-
Patent number: 11403772Abstract: A system includes sensors and a tracking subsystem. The subsystem tracks a first object and one or more other objects in a space. After determining that re-identification of the first object is needed, candidate identifiers are determined for the first object. The candidate identifiers include a subset of the identifiers of all tracked objects in the space. The subset includes possible identifiers of the first object based on a history of movements of the first object and interactions of the first object with the other objects in the space. Based on a top-view image, a first descriptor is determined for the first object. The first descriptor is associated with a characteristic of the first object. Based on results of comparing the first descriptor to a set of predetermined descriptors, an updated identifier is determined for the first object.Type: GrantFiled: January 28, 2021Date of Patent: August 2, 2022Assignee: 7-ELEVEN, INC.Inventors: Madan Mohan Chinnam, Sailesh Bharathwaaj Krishnamurthy, Shahmeer Ali Mirza
-
Publication number: 20220165062Abstract: A scalable tracking system processes video of a space to track the positions of people within a space. The tracking system determines local coordinates for the people within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for a person during that time window.Type: ApplicationFiled: February 10, 2022Publication date: May 26, 2022Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio
-
Publication number: 20220157064Abstract: A scalable tracking system processes video of a space to track the positions of objects within a space. The tracking system determines local coordinates for the objects within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for an object during that time window.Type: ApplicationFiled: February 4, 2022Publication date: May 19, 2022Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio
-
Patent number: 11288518Abstract: A scalable tracking system processes video of a space to track the positions of people within a space. The tracking system determines local coordinates for the people within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for a person during that time window.Type: GrantFiled: July 29, 2020Date of Patent: March 29, 2022Assignee: 7-ELEVEN, INC.Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio
-
Publication number: 20220084219Abstract: A scalable tracking system includes a camera subsystem, a weight subsystem, and a central server. The camera subsystem includes cameras that capture video of a space, camera clients that determine local coordinates of objects in the captured videos, and a camera server that determines the physical positions of objects in the space based on the determined local coordinates. The weight subsystem determines when items were removed from shelves. The central server determines which object in the space removed the items based on the physical positions of the objects in the space and the determination of when items were removed.Type: ApplicationFiled: November 29, 2021Publication date: March 17, 2022Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio, Deepanjan Paul, Fahad Mirza
-
Patent number: 11275953Abstract: A scalable tracking system processes video of a space to track the positions of people within a space. The tracking system determines local coordinates for the people within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for a person during that time window.Type: GrantFiled: July 29, 2020Date of Patent: March 15, 2022Assignee: 7-ELEVEN, INC.Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio
-
Patent number: 11244463Abstract: A scalable tracking system includes a camera subsystem, a weight subsystem, and a central server. The camera subsystem includes cameras that capture video of a space, camera clients that determine local coordinates of people in the captured videos, and a camera server that determines the physical positions of people in the space based on the determined local coordinates. The weight subsystem determines when items were removed from shelves. The central server determines which person in the space removed the items based on the physical positions of the people in the space and the determination of when items were removed.Type: GrantFiled: December 17, 2020Date of Patent: February 8, 2022Assignee: 7-ELEVEN, INC.Inventors: Sailesh Bharathwaaj Krishnamurthy, Sarath Vakacharla, Trong Nghia Nguyen, Shahmeer Ali Mirza, Madan Mohan Chinnam, Caleb Austin Boulio, Deepanjan Paul, Fahad Mirza
-
Publication number: 20210272296Abstract: A system includes sensors and a processor that tracks first and second objects in a space. Upon detecting that a tracked position of the first object is within a threshold distance of a tracked position of a second object, a top-view image of the first object is received from a first sensor. Based on this top-view image, a first descriptor is determined for the first object. The first descriptor is associated with an observable characteristic of the first object. The processor identifies the first object based at least in part upon the first descriptor.Type: ApplicationFiled: May 21, 2021Publication date: September 2, 2021Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Madan Mohan Chinnam, Crystal Maung
-
Patent number: 11107226Abstract: A system includes sensors and a tracking subsystem. The subsystem tracks first and second objects in a space. Following a collision event between the first and second object, a top-view image of the first object is received from a first sensor. Based on the top-view image, a first descriptor is determined for the first object. The first descriptor is associated with an observable characteristic of the first object. If criteria are not satisfied for distinguishing the first object from the second object based on the first descriptor, a third descriptor is determined for the first object. The third descriptor is generated by an artificial neural network configured to identify objects in top-view images. The tracking subsystem uses the third descriptor to assign an identifier to the first object.Type: GrantFiled: October 25, 2019Date of Patent: August 31, 2021Assignee: 7-ELEVEN, INC.Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Madan Mohan Chinnam, Crystal Maung
-
Publication number: 20210150737Abstract: A system includes sensors and a tracking subsystem. The subsystem tracks a first object and one or more other objects in a space. After determining that re-identification of the first object is needed, candidate identifiers are determined for the first object. The candidate identifiers include a subset of the identifiers of all tracked objects in the space. The subset includes possible identifiers of the first object based on a history of movements of the first object and interactions of the first object with the other objects in the space. Based on a top-view image, a first descriptor is determined for the first object. The first descriptor is associated with a characteristic of the first object. Based on results of comparing the first descriptor to a set of predetermined descriptors, an updated identifier is determined for the first object.Type: ApplicationFiled: January 28, 2021Publication date: May 20, 2021Inventors: Madan Mohan Chinnam, Sailesh Bharathwaaj Krishnamurthy, Shahmeer Ali Mirza
-
Patent number: 11004219Abstract: A system includes sensors and a tracking subsystem. The subsystem tracks a first object and one or more other objects in a space. After determining that re-identification of the first object is needed, candidate identifiers are determined for the first object The candidate identifiers include a subset of the identifiers of all tracked objects in the space. The subset includes possible identifiers of the first object based on a history of movements of the first object and interactions of the first object with the other objects in the space. Based on a top-view image, a first descriptor is determined for the first object. The first descriptor is associated with a characteristic of the first object. Based on results of comparing the first descriptor to a set of predetermined descriptors, an updated identifier is determined for the first object.Type: GrantFiled: October 25, 2019Date of Patent: May 11, 2021Assignee: 7-Eleven, Inc.Inventors: Madan Mohan Chinnam, Sailesh Bharathwaaj Krishnamurthy, Shahmeer Ali Mirza
-
Publication number: 20210125350Abstract: A system includes sensors and a tracking subsystem. The subsystem tracks a first object and one or more other objects in a space. After determining that re-identification of the first object is needed, candidate identifiers are determined for the first object The candidate identifiers include a subset of the identifiers of all tracked objects in the space. The subset includes possible identifiers of the first object based on a history of movements of the first object and interactions of the first object with the other objects in the space. Based on a top-view image, a first descriptor is determined for the first object. The first descriptor is associated with a characteristic of the first object. Based on results of comparing the first descriptor to a set of predetermined descriptors, an updated identifier is determined for the first object.Type: ApplicationFiled: October 25, 2019Publication date: April 29, 2021Inventors: Madan Mohan Chinnam, Sailesh Bharathwaaj Krishnamurthy, Shahmeer Ali Mirza
-
Publication number: 20210124949Abstract: An object tracking system that includes a sensor that is configured to capture frames of at least a portion of a global plane for a space. The system is configured to receive a first frame from the sensor, to identify a pixel location within the first frame, and to determine an estimated sensor location for the sensor by applying a homography to the pixel location. The homography includes coefficients that translate between pixel locations in a frame from the sensor and (x,y) coordinates in the global plane. The system is further configured to determine an actual sensor location for the sensor and to determine a location difference between the estimated sensor location and the actual sensor location. The system is further configured to compare the location difference to a difference threshold level and to recompute the homography in response to determining that the location difference exceeds the difference threshold level.Type: ApplicationFiled: November 25, 2020Publication date: April 29, 2021Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Madan Mohan Chinnam, Crystal Maung
-
Publication number: 20210125346Abstract: A system includes sensors and a tracking subsystem. The subsystem tracks first and second objects in a space. Following a collision event between the first and second object, a top-view image of the first object is received from a first sensor. Based on the top-view image, a first descriptor is determined for the first object. The first descriptor is associated with an observable characteristic of the first object. If criteria are not satisfied for distinguishing the first object from the second object based on the first descriptor, a third descriptor is determined for the first object. The third descriptor is generated by an artificial neural network configured to identify objects in top-view images. The tracking subsystem uses the third descriptor to assign an identifier to the first object.Type: ApplicationFiled: October 25, 2019Publication date: April 29, 2021Inventors: Shahmeer Ali Mirza, Sailesh Bharathwaaj Krishnamurthy, Madan Mohan Chinnam, Crystal Maung