Systems and methods for edge-driven object detection for resource optimization
US-2025139913-A1 · May 1, 2025 · US
US12587585B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12587585-B2 |
| Application number | US-202418806352-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 15, 2024 |
| Priority date | Dec 15, 2021 |
| Publication date | Mar 24, 2026 |
| Grant date | Mar 24, 2026 |
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The present disclosure provides a system of distributed edge computing for cooperative augmented reality with mobile sensing capability. The system includes a plurality of nodes configured to generate a plurality of data streams; and a plurality of distributed edge servers configured to process one or more tasks using the plurality of data streams. An Apache Storm distributed stream processing platform is installed and properly configured on each distributed edge server; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; and a scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers.
Opening claim text (preview).
What is claimed is: 1 . A system of distributed edge computing for cooperative augmented reality (AR) with mobile sensing capability, applied to a service-centric distributed resource-aware architecture (SCDRA), comprising: a plurality of nodes, wherein the plurality of nodes includes a plurality of HoloLens nodes and a plurality of sensor nodes; and the plurality of nodes is configured to generate a plurality of data streams; and a plurality of distributed edge servers, configured to process one or more tasks using the plurality of data streams transmitted from the plurality of nodes, wherein: an Apache Storm distributed stream processing platform is installed on each of the plurality of distributed edge servers; and the plurality of nodes and the plurality of distributed edge servers are connected to each other through a wireless network; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; the master distributed edge server is configured to manage the plurality of slave distributed edge servers; and an Apache Storm scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers. 2 . The system according to claim 1 , wherein: the one or more tasks include one or more of object detection, cooperative floor plan building, cooperative situational awareness, location tracking, event tagging, target navigation, and model reconstruction. 3 . The system according to claim 1 , wherein: the one or more tasks processed are shared among a plurality of users through the wireless network. 4 . The system according to claim 1 , wherein: the SCDRA includes a physical layer, a management layer, and a service layer. 5 . The system according to claim 4 , wherein: the physical layer includes the plurality of nodes and the plurality of distributed edge servers. 6 . The system according to claim 4 , wherein: the management layer includes a plurality of components including node registry, network management, task schedular, service registry, storage management, and failure handling. 7 . A method of distributed edge computing for cooperative augmented reality (AR) with mobile sensing capability, applied to a service-centric distributed resource-aware architecture (SCDRA), comprising: generating a plurality of data streams by a plurality of nodes, wherein the plurality of nodes includes a plurality of HoloLens nodes and a plurality of sensor nodes; and processing one or more tasks by a plurality of distributed edge servers using the plurality of data streams transmitted from the plurality of nodes, wherein: an Apache Storm distributed stream processing platform is installed on each of the plurality of distributed edge servers; and the plurality of nodes and the plurality of distributed edge servers are connected to each other through a wireless network; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; the master distributed edge server is configured to manage the plurality of slave distributed edge servers; and an Apache Storm scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers. 8 . The method according to claim 7 , wherein: the one or more tasks include one or more of object detection, cooperative floor plan building, cooperative situational awareness, location tracking, event tagging, target navigation, and model reconstruction. 9 . The method according to claim 7 , wherein: the one or more tasks processed are shared among a plurality of users through the wireless network. 10 . The method according to claim 7 , wherein: the SCDRA includes a physical layer, a management layer, and a service layer. 11 . The method according to claim 10 , wherein: the physical layer includes the plurality of nodes and the plurality of distributed edge servers. 12 . The method according to claim 10 , wherein: the management layer includes a plurality of components including node registry, network management, task schedular, service registry, storage management, and failure handling. 13 . A non-transitory computer-readable storage medium, containing program instructions for, when being executed by a processor, performing a method of distributed edge computing for cooperative augmented reality (AR) with mobile sensing capability, applied to a service-centric distributed resource-aware architecture (SCDRA), the method comprising: generating a plurality of data streams by a plurality of nodes, wherein the plurality of nodes includes a plurality of HoloLens nodes and a plurality of sensor nodes; and processing one or more tasks by a plurality of distributed edge servers using the plurality of data streams transmitted from the plurality of nodes, wherein: an Apache Storm distributed stream processing platform is installed on each of the plurality of distributed edge servers; and the plurality of nodes and the plurality of distributed edge servers are connected to each other through a wireless network; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; the master distributed edge server is configured to manage the plurality of slave distributed edge servers; and an Apache Storm scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers. 14 . The storage medium according to claim 13 , wherein: the one or more tasks include one or more of object detection, cooperative floor plan building, cooperative situational awareness, location tracking, event tagging, target navigation, and model reconstruction. 15 . The storage medium according to claim 13 , wherein: the one or more tasks processed are shared among a plurality of users through the wireless network. 16 . The storage medium according to claim 13 , wherein: the SCDRA includes a physical layer, a management layer, and a service layer. 17 . The storage medium according to claim 16 , wherein: the physical layer includes the plurality of nodes and the plurality of distributed edge servers. 18 . The storage medium according to claim 16 , wherein: the management layer includes a plurality of components including node registry, network management, task schedular, service registry, storage management, and failure handling.
in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title
in augmented reality scenes · CPC title
Protocols for games, networked simulations or virtual reality · CPC title
structured as a network, e.g. client-server architectures · CPC title
of classification results, e.g. where the classifiers operate on the same input data · CPC title
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