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公开(公告)号:US12093023B2
公开(公告)日:2024-09-17
申请号:US16181253
申请日:2018-11-05
申请人: R4N63R Capital LLC
IPC分类号: G06Q10/06 , G05B19/418 , G06F9/448 , G06F9/48 , G06F11/07 , G06F11/34 , G06F16/22 , G06F16/23 , G06F16/2455 , G06F16/901 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/0631 , G06Q10/0639 , G06T19/00 , G06V10/25 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/16 , G01M99/00 , G05B19/423 , G05B23/02 , G06F18/21 , G06F111/10 , G06F111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
CPC分类号: G05B19/4183 , G05B19/41835 , G06F9/4498 , G06F9/4881 , G06F11/0721 , G06F11/079 , G06F11/3452 , G06F16/2228 , G06F16/2365 , G06F16/24568 , G06F16/9024 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/063112 , G06Q10/06316 , G06Q10/06393 , G06Q10/06395 , G06Q10/06398 , G06T19/006 , G06V10/25 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/1664 , B25J9/1697 , G01M99/005 , G05B19/41865 , G05B19/423 , G05B23/0224 , G05B2219/32056 , G05B2219/36442 , G06F18/217 , G06F2111/10 , G06F2111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
摘要: Workspace coordination systems and methods are presented. A method can comprise: accessing in real time respective information associated with a first actor and a second actor, including sensed activity information; analyzing the information, including analyzing activity of the first actor with respect to a second actor; and forwarding respective feedback based on the results of the analysis. The feedback can includes an individual objective specific to one of either the first actor or the second actor. The feedback includes collective objective with respect to the first actor or the second actor. The analyzing can include automated artificial intelligence analysis. Sensed activity information can be associated with a grid within the activity space. It is appreciated there can be various combinations of actors (e.g., human and device, device and device, human and human, etc.). The feedback can be a configuration layout suggestion. The feedback can be a suggested assignment of a type of actor to an activity.
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公开(公告)号:US12093022B2
公开(公告)日:2024-09-17
申请号:US16181191
申请日:2018-11-05
申请人: R4N63R Capital LLC
发明人: Prasad Narasimha Akella , Ananth Uggirala , Krishnendu Chaudhury , Sameer Gupta , Sujay Venkata Krishna Narumanchi
IPC分类号: G05B19/418 , G06F9/448 , G06F9/48 , G06F11/07 , G06F11/34 , G06F16/22 , G06F16/23 , G06F16/2455 , G06F16/901 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/0631 , G06Q10/0639 , G06T19/00 , G06V10/25 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/16 , G01M99/00 , G05B19/423 , G05B23/02 , G06F18/21 , G06F111/10 , G06F111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
CPC分类号: G05B19/4183 , G05B19/41835 , G06F9/4498 , G06F9/4881 , G06F11/0721 , G06F11/079 , G06F11/3452 , G06F16/2228 , G06F16/2365 , G06F16/24568 , G06F16/9024 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/063112 , G06Q10/06316 , G06Q10/06393 , G06Q10/06395 , G06Q10/06398 , G06T19/006 , G06V10/25 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/1664 , B25J9/1697 , G01M99/005 , G05B19/41865 , G05B19/423 , G05B23/0224 , G05B2219/32056 , G05B2219/36442 , G06F18/217 , G06F2111/10 , G06F2111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
摘要: Embodiments of the present invention provide a machine and continuous data set including process data, quality data, specific actor data, and ergonomic data (among others) to create more accurate job assignments that maximize efficiency, quality and worker safety. Using the data set, tasks may be assigned to actors based on objective statistical data such as skills, task requirements, ergonomics and time availability. Assigning tasks in this way can provide unique value for manufacturers who currently conduct similar analyses using only minimal observational data.
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公开(公告)号:US12130610B2
公开(公告)日:2024-10-29
申请号:US16181194
申请日:2018-11-05
申请人: R4N63R Capital LLC
发明人: Prasad Narasimha Akella , Ananya Honnedevasthana Ashok , Zakaria Ibrahim Assoul , Krishnendu Chaudhury , Sameer Gupta , Sujay Venkata Krishna Narumanchi , David Scott Prager , Devashish Shankar , Ananth Uggirala , Yash Raj Chhabra
IPC分类号: G06F16/24 , G05B19/418 , G06F9/448 , G06F9/48 , G06F11/07 , G06F11/34 , G06F16/22 , G06F16/23 , G06F16/2455 , G06F16/901 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/0631 , G06Q10/0639 , G06T19/00 , G06V10/25 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/16 , G01M99/00 , G05B19/423 , G05B23/02 , G06F18/21 , G06F111/10 , G06F111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
CPC分类号: G05B19/4183 , G05B19/41835 , G06F9/4498 , G06F9/4881 , G06F11/0721 , G06F11/079 , G06F11/3452 , G06F16/2228 , G06F16/2365 , G06F16/24568 , G06F16/9024 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/063112 , G06Q10/06316 , G06Q10/06393 , G06Q10/06395 , G06Q10/06398 , G06T19/006 , G06V10/25 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/1664 , B25J9/1697 , G01M99/005 , G05B19/41865 , G05B19/423 , G05B23/0224 , G05B2219/32056 , G05B2219/36442 , G06F18/217 , G06F2111/10 , G06F2111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
摘要: The systems and methods provide an action recognition and analytics tool for use in manufacturing, health care services, shipping, retailing and other similar contexts. Machine learning action recognition can be utilized to determine cycles, processes, actions, sequences, objects and or the like in one or more sensor streams. The sensor streams can include, but are not limited to, one or more video sensor frames, thermal sensor frames, infrared sensor frames, and or three-dimensional depth frames. The analytics tool can provide for automatic creation of certificates for each instance of a subject product or service. The certificates can string together snippets of the sensor streams along with indicators of cycles, processes, action, sequences, objects, parameters and the like captured in the sensor streams.
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公开(公告)号:US12099344B2
公开(公告)日:2024-09-24
申请号:US16181239
申请日:2018-11-05
申请人: R4N63R Capital LLC
IPC分类号: G06Q10/06 , G05B19/418 , G06F9/448 , G06F9/48 , G06F11/07 , G06F11/34 , G06F16/22 , G06F16/23 , G06F16/2455 , G06F16/901 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/0631 , G06Q10/0639 , G06T19/00 , G06V10/25 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/16 , G01M99/00 , G05B19/423 , G05B23/02 , G06F18/21 , G06F111/10 , G06F111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
CPC分类号: G05B19/4183 , G05B19/41835 , G06F9/4498 , G06F9/4881 , G06F11/0721 , G06F11/079 , G06F11/3452 , G06F16/2228 , G06F16/2365 , G06F16/24568 , G06F16/9024 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/063112 , G06Q10/06316 , G06Q10/06393 , G06Q10/06395 , G06Q10/06398 , G06T19/006 , G06V10/25 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/1664 , B25J9/1697 , G01M99/005 , G05B19/41865 , G05B19/423 , G05B23/0224 , G05B2219/32056 , G05B2219/36442 , G06F18/217 , G06F2111/10 , G06F2111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
摘要: In one embodiment a method comprises: accessing information associated with a first actor, including sensed activity information associated with an activity space; analyzing the activity information, including analyzing activity of the first actor with respect to a plurality of other actors; and forwarding feedback on the results of the analysis, wherein the results includes identification of a second actor as a replacement actor to replace the first actor, wherein the second actor is one of the plurality of other actors. The activity space can include an activity space associated with performance of a task. The analyzing can comprise: comparing information associated with activity of the first actor within the activity space with anticipated activity of the respective ones of the plurality of the actors within the activity space; and analyzing/comparing deviations between the activity of the first actor and the anticipated activity of the second actor.
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公开(公告)号:US12055920B2
公开(公告)日:2024-08-06
申请号:US16180985
申请日:2018-11-05
申请人: R4N63R Capital LLC
发明人: Prasad Narasimha Akella , Ananya Honnedevasthana Ashok , Krishnendu Chaudhury , Ashish Gupta , Sujay Venkata Krishna Narumanchi , David Scott Prager , Devashish Shankar , Ananth Uggirala
IPC分类号: G05B19/418 , G06F9/448 , G06F9/48 , G06F11/07 , G06F11/34 , G06F16/22 , G06F16/23 , G06F16/2455 , G06F16/901 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/0631 , G06Q10/0639 , G06T19/00 , G06V10/25 , G06V10/44 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/16 , G01M99/00 , G05B19/423 , G05B23/02 , G06F18/21 , G06F111/10 , G06F111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
CPC分类号: G05B19/4183 , G05B19/41835 , G06F9/4498 , G06F9/4881 , G06F11/0721 , G06F11/079 , G06F11/3452 , G06F16/2228 , G06F16/2365 , G06F16/24568 , G06F16/9024 , G06F16/9035 , G06F16/904 , G06F30/20 , G06F30/23 , G06F30/27 , G06N3/008 , G06N3/04 , G06N3/044 , G06N3/045 , G06N3/08 , G06N3/084 , G06N7/01 , G06N20/00 , G06Q10/06 , G06Q10/063112 , G06Q10/06316 , G06Q10/06393 , G06Q10/06395 , G06Q10/06398 , G06T19/006 , G06V10/25 , G06V10/454 , G06V10/82 , G06V20/52 , G06V40/20 , G09B19/00 , B25J9/1664 , B25J9/1697 , G01M99/005 , G05B19/41865 , G05B19/423 , G05B23/0224 , G05B2219/32056 , G05B2219/36442 , G06F18/217 , G06F2111/10 , G06F2111/20 , G06N3/006 , G06Q10/083 , G06Q50/26 , G16H10/60
摘要: The systems and methods provide an action recognition and analytics tool for use in manufacturing, health care services, shipping, retailing and other similar contexts. Machine learning action recognition can be utilized to determine cycles, processes, actions, sequences, objects and or the like in one or more sensor streams. The sensor streams can include, but are not limited to, one or more video sensor frames, thermal sensor frames, infrared sensor frames, and or three-dimensional depth frames. The analytics tool can provide for process validation, anomaly detection and in-process quality assurance.
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