Systems and methods for enhanced real-time image analysis with a dimensional convolution concept net
AssigneeSafe Tek, LLC
InventorsMichael Graves, Joseph Graves
Life of this patent
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Abstract
A system for analyzing images is provided. The system includes a computing device having at least one processor in communication with at least one memory device. The at least one processor is programmed to receive an image including a plurality of objects, detect the plurality of objects in the image, determine dependencies between each of the plurality of objects, identify the plurality of objects based, at least in part, on the plurality of dependencies, and determine one or more objects of interest from the plurality of identified objects.
Claims20
A system comprising:
- a computing device comprising at least one processor in communication with at least one memory device, wherein the at least one processor is programmed to:
- receive an image including a plurality of objects;
- detect the plurality of objects in the image;
- determine a plurality of dependencies based on one or more dependencies between each object of the plurality of objects, wherein each object of the plurality of objects is connected to each object in the plurality of objects through the plurality of dependencies;
- classify a subset of the plurality of objects as background objects;
- remove the subset of background objects from the plurality of objects;
- and determine one or more objects of interest from the remaining plurality of objects.
A method for real-time image analysis the method implemented by a computer device comprising at least one processor in communication with at least one memory device, wherein the method comprises:
- receiving an image including a plurality of objects;
- detecting the plurality of objects in the image;
- determining a plurality of dependencies based on one or more dependencies between each object of the plurality of objects, wherein each object of the plurality of objects is connected to each object in the plurality of objects through the plurality of dependencies;
- classifying a subset of the plurality of objects as background objects;
- removing the subset of background objects from the plurality of objects;
- and determining one or more objects of interest from the remaining plurality of objects.
Dependencies are inferred from the claim text.