Dell Products Inc.

Philip E Hummel

Dharmesh M Patel

Ian Gerard Roche

Methods and systems for managing threats to data processing systems are disclosed. To manage the threats, multiple threat management models may be utilized. The threat management models may include centralized models that rely on operable connectivity to particular systems, and distributed models that do not rely on operable connectivity to the particular systems. The data processing systems may flexibly switch between use of these models to respond to changes in operably connectivity of a distributed system.

System and method for threat management in distributed systems

Techniques described herein relate to a method for managing a computer vision environment. The method includes identifying, by a computer vision (CV) node of a plurality of CV nodes, a CV alert; in response to identifying the CV alert: identifying candidate CV nodes of the plurality of CV nodes; generating a dynamic CV zone using the candidate CV nodes; initiating performance of a CV workload by the dynamic CV zone to generate CV data associated with the CV alert; generating a CV alert case associated with the CV alert; obtaining CV data from the dynamic CV zone; updating the CV alert case using the CV data generated during the performance of the CV workload; and providing the updated CV alert case to a VMS.

Method and system for performing distributed computer vision workloads in a computer vision environment using a dynamic computer vision zone

A system in accordance with one or more embodiments comprises a processor, a processing system operatively connected to the processor, and an enhanced networking interface operatively connected to the processing system. The enhanced networking interface is programmed to obtain encoded data from a local data source, perform a decoding of the encoded data to obtain decoded data, provide the decoded data to the processing system. The processing system is programmed to obtain the decoded data from the enhanced networking interface, perform a computer vision (CV) inferencing on the decoded data to obtain inferencing data, provide the inferencing data to the processor, and perform, by the processor, a remediation action based on the inferencing data.

Method and system for using remote direct memory access to store metadata for encoded data using processing system storage

Methods and systems for providing security management services are disclosed. To provide security management services in a manner that reduces the quantity of hardware resources necessary to provide the security management services, the security manager may prioritize security management services based on a trained state of a data processing system to modify a level of surveillance of the persons. By doing so, the device management services may only be provided when certain conditions are met rather than continuously. To place the data processing system in the trained state, the data processing system may need to be trained to predict paths that individuals are likely to traverse using training data. To obtain the training data, previously traversed paths of individuals may be tracked through an environment and stored into a database.

System and method for security management though forensic analysis of images of scenes

Techniques described herein relate to a method for optimizing power for a computer vision environment. The method includes obtaining, by a computer vision (CV) manager, an initial power optimization request associated with a CV workload; in response to obtaining the initial power optimization request: obtaining CV workload information associated with the CV workload; obtaining first CV environment configuration information associated with the power optimization request; generating a power optimization report based on the first CV environment configuration information and the CV workload information using a power optimization model; and initiating performance of the CV workload in a CV environment based on the power optimization report.

Method and system for optimizing power for a computer vision environment

Techniques described herein relate to a method for managing a computer vision environment. The method includes identifying a CV alert; in response to identifying the CV alert: making a first determination that the CV node is not participating in a distributed workload associated with a higher priority CV alert; in response to the first determination, the CV node: selects candidate CV nodes of the plurality of CV nodes; initiates performance of the distributed CV workload by the candidate CV nodes to generate CV data associated with the CV alert; generates a CV alert case associated with the CV alert; obtains CV data from the candidate CV nodes that are performing the distributed CV workload; updates the CV alert case using the CV data generated during the performance of the distributed CV workload; and provides the updated CV alert case to a VMS.

Method and system for performing distributed computer vision workloads in a computer vision environment using a computer vision node leader

Techniques described herein relate to a method for managing a computer vision environment. The method includes identifying a CV alert; generating a CV alert case associated with the CV alert; identifying nearby CV nodes of the plurality of CV nodes; transmitting CV alert to the nearby CV nodes; for each of the nearby CV nodes: receiving the CV alert; determining, based on CV environment configuration information of the nearby CV node and the CV alert, whether to perform a distributed CV workload; when the determination is to perform the distributed CV workload: initiating performance of the distributed CV workload by the nearby CV nodes to generate CV data; updating the CV alert case using CV data generated during the performance of the distributed CV workload to obtain an updated CV alert case; and transmitting by the nearby CV node to the VMS the updated CV alert case.

Method and system for performing distributed computer vision workloads in a computer vision environment

Methods and systems for managing operation of data processing systems are disclosed. To manage operation of the data processing systems, telemetry data for the data processing systems may be collected and used to estimate the health of the data processing systems. The rates and types of telemetry data this is collected may be dynamically adjusted based on the confidence in estimates for the health of the data processing systems. The collection rate and/or number of monitored quantities may be increased as the confidence in the estimated health of the data processing systems decreases.

System and method for remote management of data processing systems

Techniques described herein relate to a method for managing a computer vision environment. The method includes obtaining, by a video management system (VMS), a computer vision (CV) alert; in response to obtaining the CV alert: receiving confirmation of the CV alert; in response to the confirmation: identifying a nearest mobile agent of mobile agents associated with the CV alert; providing the CV alert and at least a portion of the CV data associated with the CV alert to the mobile agent; generating a CV alert case associated with the CV alert; obtaining additional CV data associated with the CV alert from CV nodes and the nearest mobile agent; and updating the CV alert case using the additional CV data.

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San Jose, CA, United States of America

Philip E Hummel