Dell Products Inc.

Dell & Products L.p.

Eric L Caron

Vinicius Michel Gottin

Paulo Abelha Ferreira

Pablo Nascimento Da Silva

Eric Joseph Bruno

Nalinkumar Mistry

Herberth Birck Fröhlich

Occupancy aware decision-making is disclosed. Positions of entities in an environment are determined. Stationary entities are used as markers to segment the environment. Positions of non-stationary entities are used to determine an occupancy score for each of the segments. Decision making operations, such as pathfinding for mobile entities, can be performed using the occupancy scores of the segments. The occupancy scores and segmentation adapt to changes in the environment.

Dynamic segmentation and occupancy scoring in edge environments with mobile devices for real-time decision making

A nanoservice architecture allows a service to include multiple functions or features along with a common skeleton code. Each of the nanoservices in a service may be configured using a common configuration file. The configuration file may include a portion that configures requirements or resources common to all nanoservices and other portions that are specific to associated nanoservices.

Nanoservice computing and architecture

Real-time event detection is performed on nodes in an environment using position data that is not available to a node in real time but is delayed. A node performs real time event detection by predicting a position of the node based at least in part on delayed position data. The delayed position data is aligned to other sensor data. Aligning the position data may include predicting a position based on dead reckoning and/or a machine learning model. One or more collections of data, each collection including sensor data and predicted position data, is input to a model that performs event detection.

Event detection on far edge mobile devices using delayed positioning data

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Ottawa, Canada

Eric L Caron