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1.发明授权公开(公告)号：US11935416B1
公开(公告)日：2024-03-19
申请号：US18493684
申请日：2023-10-24
Applicant: Armada Systems Inc.
Inventor： Arash Motamedi , Chris Vasquez , Grant Gordon , Dan Wright , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
Abstract: A process can include obtaining a plurality of data points each associated with a respective edge device of a fleet of edge devices, each respective edge device associated with an edge site location or edge device asset group. The plurality of data points are stored to a fleet map data catalog and a filtering selection for viewing a filtered subset of the fleet map data catalog is received, indicating a selected geographic view area and selected edge device types from a plurality of edge device types. Data points corresponding to the filtered subset are obtained from the fleet map data catalog using the filtering selection. A fleet map GUI view is generated using the data points corresponding to the filtered subset, the fleet map GUI view comprising a converged geographic map of the selected geographic view area, with data points are rendered at corresponding locations within the converged geographic map.
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公开(公告)号：US12034801B1
公开(公告)日：2024-07-09
申请号：US18524506
申请日：2023-11-30
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
IPC: H04L67/1008 , H04L41/16 , H04L41/22 , H04L67/101
CPC classification number: H04L67/1008 , H04L41/16 , H04L41/22 , H04L67/101
Abstract: A process can include receiving monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration for at least one workload corresponding to a pre-trained ML or AI model deployed on the at least one edge compute unit. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
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3.发明授权公开(公告)号：US12159535B1
公开(公告)日：2024-12-03
申请号：US18434615
申请日：2024-02-06
Applicant: Armada Systems Inc.
Inventor： Arash Motamedi , Chris Vasquez , Grant Gordon , Dan Wright , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
Abstract: A process can include obtaining a plurality of data points each associated with a respective edge device of a fleet of edge devices, each respective edge device associated with an edge site location or edge device asset group. The plurality of data points are stored to a fleet map data catalog and a filtering selection for viewing a filtered subset of the fleet map data catalog is received, indicating a selected geographic view area and selected edge device types from a plurality of edge device types. Data points corresponding to the filtered subset are obtained from the fleet map data catalog using the filtering selection. A fleet map GUI view is generated using the data points corresponding to the filtered subset, the fleet map GUI view comprising a converged geographic map of the selected geographic view area, with data points are rendered at corresponding locations within the converged geographic map.
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4.发明授权公开(公告)号：US12033006B1
公开(公告)日：2024-07-09
申请号：US18461476
申请日：2023-09-05
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
CPC classification number: G06F9/5083 , G06N20/00 , H04B7/18521
Abstract: A process can include receiving, by an edge compute unit, a pre-trained machine learning model from a cloud management platform, wherein the edge compute unit is deployed to an edge location and configured to obtain one or more sensor data streams at the edge location. The edge compute unit can transmit one or more batch uploads of information associated with inference performed by the edge compute unit using the pre-trained machine learning model and the one or more sensor data streams. The edge compute unit can receive one or more updated machine learning models generated by the cloud management platform responsive to the one or more batch uploads of information, wherein the one or more updated machine learning models are based on retraining or finetuning of the pre-trained machine learning model with the one or more batch uploads of information.
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公开(公告)号：US11876858B1
公开(公告)日：2024-01-16
申请号：US18461459
申请日：2023-09-05
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
IPC: H04L67/1008 , H04L67/101 , H04L41/22 , H04L41/16
CPC classification number: H04L67/1008 , H04L41/16 , H04L41/22 , H04L67/101
Abstract: A process can include receiving monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration for at least one workload corresponding to a pre-trained ML or AI model deployed on the at least one edge compute unit. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
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Patent Agency Ranking
公开(公告)号：US12131242B1
公开(公告)日：2024-10-29
申请号：US18461473
申请日：2023-09-05
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
Abstract: A process can include transmitting a pre-trained machine learning model to an edge compute unit associated with a request. The edge compute unit can perform inference using the pre-trained machine learning model and one or more sensor data streams obtained at an edge location. One or more batch uploads of information can be received, associated with inference performed by the edge compute unit and using the pre-trained machine learning model. One or more updated machine learning models can be generated, based on using the batch uploads of information from the edge compute unit to retrain or finetune the pre-trained machine learning model. The one or more updated machine learning models can be transmitted to the edge compute unit, wherein transmission of the updated machine learning model is responsive to receiving the one or more batch uploads of information.
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公开(公告)号：US12014219B1
公开(公告)日：2024-06-18
申请号：US18461470
申请日：2023-09-05
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
IPC: G06F9/50
CPC classification number: G06F9/505 , G06F9/5072
Abstract: A method can include receiving monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration associated with at least one edge compute unit of the fleet. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
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公开(公告)号：US12111744B1
公开(公告)日：2024-10-08
申请号：US18406471
申请日：2024-01-08
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
CPC classification number: G06F11/328 , G06F11/3006 , H04L41/22
Abstract: An apparatus can be configured to receive monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration for at least one workload corresponding to a pre-trained ML or AI model deployed on the at least one edge compute unit. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
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公开(公告)号：US12014634B1
公开(公告)日：2024-06-18
申请号：US18461464
申请日：2023-09-05
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
Abstract: An apparatus can be configured to receive monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration associated with at least one edge compute unit of the fleet. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
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公开(公告)号：US11907093B1
公开(公告)日：2024-02-20
申请号：US18461461
申请日：2023-09-05
Applicant: Armada Systems Inc.
Inventor： Pradeep Nair , Pragyana K Mishra , Anish Swaminathan , Janardhan Prabhakara
CPC classification number: G06F11/328 , G06F11/3006 , H04L41/22
Abstract: An apparatus can be configured to receive monitoring information associated with a machine learning (ML) or artificial intelligence (AI) workload implemented by an edge compute unit of a plurality of edge compute units. Status information corresponding to a plurality of connected edge assets can be received, the plurality of edge compute units and connected edge assets included in a fleet of edge devices. A remote fleet management graphical user interface (GUI) can display a portion of the monitoring or status information for a subset of the fleet of edge devices, based on a user selection input, and can receive a user configuration input indicative of an updated configuration for at least one workload corresponding to a pre-trained ML or AI model deployed on the at least one edge compute unit. A cloud computing environment can transmit control information corresponding to the updated configuration to the at least one edge compute unit.
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