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公开(公告)号：US20210223853A1
公开(公告)日：2021-07-22
申请号：US17203347
申请日：2021-03-16
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs , Seungoh Ryu , Chien Lim
Abstract: An approach to sensor data is based on scenes. One aspect concerns a computer-implemented method for specifying and obtaining a variety of sensor data and processed sensor data related to a scene. The method incorporates a Scene-based API that uses SceneModes and SceneData. An application requesting sensor data communicates a SceneMode to a group of one or more sensor devices and/or sensor modules via the Scene-based API. The SceneMode determines the SceneData to be captured or provided by the sensor group, which typically includes different types of sensor data related to the Scene and also further processed or analyzed data. The application receives the SceneData from the sensor group via the Scene-based API, with the SceneData organized into SceneShots which are samples of the Scene.
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公开(公告)号：US10990162B2
公开(公告)日：2021-04-27
申请号：US16660391
申请日：2019-10-22
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs , Seungoh Ryu , Chien Lim
Abstract: An approach to sensor data is based on scenes. One aspect concerns a computer-implemented method for specifying and obtaining a variety of sensor data and processed sensor data related to a scene. The method incorporates a Scene-based API that uses SceneModes and SceneData. An application requesting sensor data communicates a SceneMode to a group of one or more sensor devices and/or sensor modules via the Scene-based API. The SceneMode determines the SceneData to be captured or provided by the sensor group, which typically includes different types of sensor data related to the Scene and also further processed or analyzed data. The application receives the SceneData from the sensor group via the Scene-based API, with the SceneData organized into SceneShots which are samples of the Scene.
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公开(公告)号：US20200280543A1
公开(公告)日：2020-09-03
申请号：US16878311
申请日：2020-05-19
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs , Seungoh Ryu , Chien Lim
IPC: H04L29/06 , G06K9/00 , G06F21/62 , G06F21/57 , G11B27/28 , G06F21/10 , G11B27/34 , H04L9/32 , H04N7/18
Abstract: Security and access control is provided for sensor devices, the data captured by sensor devices, and the results of processing and analyzing that data. In one aspect, SceneData related to a Scene is requested from a sensor-side technology stack and at least some of the SceneData is secured, for example by encryption. Different SceneData can be secured separately and at different levels of security, thus providing fine-grained security of the SceneData. In yet another aspect, data security is implemented by a separate privacy management system. In yet another aspect, sensor devices themselves are secured against external network threats. The sensor device includes an execution environment and a separate network management layer that secures the execution environment against threats from the external network. In one implementation, the sensor device is partitioned into a trusted region and a non-trusted region, and the network security stack is implemented in the trusted region.
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公开(公告)号：US20170339329A1
公开(公告)日：2017-11-23
申请号：US15583919
申请日：2017-05-01
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs , Seungoh Ryu , Chien Lim
CPC classification number: H04N5/23209 , H04N5/2252 , H04N5/2253 , H04N5/23206 , H04N5/23216 , H04N5/23219 , H04N5/23245 , H04N5/2355 , H04N5/247 , H04N5/332 , H04N5/77 , H04N13/239 , H04N13/254 , H04N13/271
Abstract: A sensor device has a sensor base with a sensor mount, for which different sensor assemblies are attachable to the sensor mount. The sensor base transmits different settings to the sensor assembly via the sensor mount interface. The transmission preferably is wireless, rather than using mechanical connectors. The sensor assembly stores the settings in control registers that determine the settings for the capture of sensor data. In one approach, the sensor base includes an application processor and software executing on the application processor determines the settings. The control registers for the sensor assembly are thus software programmable, allowing different settings to be applied to different samples of sensor data.
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公开(公告)号：US20220342476A1
公开(公告)日：2022-10-27
申请号：US17862294
申请日：2022-07-11
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs , Seungoh Ryu , Chien Lim
Abstract: An approach to sensor data is based on scenes. One aspect concerns a computer-implemented method for specifying and obtaining a variety of sensor data and processed sensor data related to a scene. The method incorporates a Scene-based API that uses SceneModes and SceneData. An application requesting sensor data communicates a SceneMode to a group of one or more sensor devices and/or sensor modules via the Scene-based API. The SceneMode determines the SceneData to be captured or provided by the sensor group, which typically includes different types of sensor data related to the Scene and also further processed or analyzed data. The application receives the SceneData from the sensor group via the Scene-based API, with the SceneData organized into SceneShots which are samples of the Scene.
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Patent Agency Ranking
公开(公告)号：US20220329571A1
公开(公告)日：2022-10-13
申请号：US17580531
申请日：2022-01-20
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs , Seungoh Ryu , Chien Lim
IPC: H04L9/40 , G06F21/62 , G06F21/57 , G11B27/28 , G06V20/40 , G06V20/52 , G06F21/10 , G11B27/34 , H04L9/32 , H04N7/18
Abstract: Security and access control is provided for sensor devices, the data captured by sensor devices, and the results of processing and analyzing that data. In one aspect, SceneData related to a Scene is requested from a sensor-side technology stack and at least some of the SceneData is secured, for example by encryption. Different SceneData can be secured separately and at different levels of security, thus providing fine-grained security of the SceneData. In yet another aspect, data security is implemented by a separate privacy management system. In yet another aspect, sensor devices themselves are secured against external network threats. The sensor device includes an execution environment and a separate network management layer that secures the execution environment against threats from the external network. In one implementation, the sensor device is partitioned into a trusted region and a non-trusted region, and the network security stack is implemented in the trusted region.
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公开(公告)号：US11416063B2
公开(公告)日：2022-08-16
申请号：US17203347
申请日：2021-03-16
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs , Seungoh Ryu , Chien Lim
Abstract: An approach to sensor data is based on scenes. One aspect concerns a computer-implemented method for specifying and obtaining a variety of sensor data and processed sensor data related to a scene. The method incorporates a Scene-based API that uses SceneModes and SceneData. An application requesting sensor data communicates a SceneMode to a group of one or more sensor devices and/or sensor modules via the Scene-based API. The SceneMode determines the SceneData to be captured or provided by the sensor group, which typically includes different types of sensor data related to the Scene and also further processed or analyzed data. The application receives the SceneData from the sensor group via the Scene-based API, with the SceneData organized into SceneShots which are samples of the Scene.
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公开(公告)号：US20210306560A1
公开(公告)日：2021-09-30
申请号：US17345648
申请日：2021-06-11
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs
Abstract: A multi-layer technology stack includes a sensor layer including image sensors, a device layer, and a cloud layer, with interfaces between the layers. Functions within the stack are represented as nodes. Various nodes receive sensor data and/or metadata packages from other nodes, analyze the received data for events, and generate and/or augment metadata packages describing the detected events. The analysis includes AI functions, such as machine learning and image understanding. The overall workflow to develop a contextual understanding of the captured images is represented as a multi-layer graph of interconnected nodes, where some of the nodes perform the AI tasks. The graph is automatically reconfigured in response to outcomes of the AI analysis.
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公开(公告)号：US20210295094A1
公开(公告)日：2021-09-23
申请号：US17341794
申请日：2021-06-08
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs
Abstract: A multi-layer technology stack includes a sensor layer including image sensors, a device layer, and a cloud layer, with interfaces between the layers. A method to curate different custom workflows for multiple applications include the following. Requirements for custom sets of data packages for the applications is received. The custom set of data packages include sensor data packages (e.g., SceneData) and contextual metadata packages that contextualize the sensor data packages (e.g., SceneMarks). Based on the received requirements and capabilities of components in the technology stack, the custom workflow for that application is deployed. This includes a selection, configuration and linking of components from the technology stack. The custom workflow is implemented in the components of the technology stack by transmitting workflow control packages directly and/or indirectly via the interfaces to the different layers.
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公开(公告)号：US20210133456A1
公开(公告)日：2021-05-06
申请号：US17084429
申请日：2020-10-29
Applicant: Scenera, Inc.
Inventor： David D. Lee , Andrew Augustine Wajs
Abstract: A multi-layer technology stack includes a sensor layer including image sensors, a device layer, and a cloud layer, with interfaces between the layers. Each layer contains multiple nodes. A method to develop contextual understanding of related events detected by the nodes includes the following. Sensor nodes capture sensor data, including multiple image sensors capturing images. Various nodes receive sensor data and/or metadata packages from other nodes, analyze the received data for events, and generate and/or augment metadata packages describing the detected events. The analysis includes image understanding. Events that are related are identified, based on the metadata packages describing the events. A contextual understanding of the related events is developed, based on analysis of the metadata packages describing the events.
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