Amazon technologies, inc. (20240320951). DISTRIBUTED SYSTEM FOR EFFICIENT ENTITY RECOGNITION simplified abstract
Contents
- 1 DISTRIBUTED SYSTEM FOR EFFICIENT ENTITY RECOGNITION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DISTRIBUTED SYSTEM FOR EFFICIENT ENTITY RECOGNITION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Object Recognition Technology
- 1.13 Original Abstract Submitted
DISTRIBUTED SYSTEM FOR EFFICIENT ENTITY RECOGNITION
Organization Name
Inventor(s)
Aakash Deep of Redmond WA (US)
Jia Bi Zhang of Kirkland WA (US)
Jonathan Hedley of Mittagong (AU)
DISTRIBUTED SYSTEM FOR EFFICIENT ENTITY RECOGNITION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320951 titled 'DISTRIBUTED SYSTEM FOR EFFICIENT ENTITY RECOGNITION
Simplified Explanation
The patent application describes a method for object recognition that involves obtaining and comparing different encodings of detected signals to initiate recognition-based actions.
Key Features and Innovation
- Obtaining a first encoding representing detected signals at a sensor-proximity resource.
- Checking for a similar second encoding in the cache and obtaining a spatial index partition if not found.
- Initiating recognition-based actions based on the similarity of encodings.
Potential Applications
This technology can be applied in various fields such as security systems, surveillance, and automated object recognition in smart devices.
Problems Solved
This technology addresses the need for efficient and accurate object recognition by comparing different encodings of detected signals.
Benefits
- Improved accuracy in object recognition.
- Faster response time in initiating recognition-based actions.
- Enhanced efficiency in analyzing and processing detected signals.
Commercial Applications
- Security systems for identifying objects or individuals.
- Surveillance systems for monitoring and tracking objects.
- Smart devices with automated object recognition capabilities.
Prior Art
Readers can explore prior art related to object recognition technologies, spatial indexing, and similarity criteria in signal processing.
Frequently Updated Research
Stay updated on advancements in object recognition technologies, spatial indexing methods, and signal processing techniques.
Questions about Object Recognition Technology
How does this technology improve object recognition efficiency?
This technology improves object recognition efficiency by comparing different encodings of detected signals to initiate recognition-based actions, leading to faster and more accurate results.
What are the potential commercial applications of this object recognition technology?
The potential commercial applications of this technology include security systems, surveillance systems, and smart devices with automated object recognition capabilities.
Original Abstract Submitted
a first encoding representing a set of detected signals is obtained at a sensor-proximity resource of an object recognition application which also includes resources of an analytics service of a provider network. in response to a determination that a cache at the sensor-proximity resource does not include a second encoding which satisfies a similarity criterion with respect to the first encoding, at least a portion of a partition of a spatial index is obtained from another resource selected using an index partition map. a recognition-based action is initiated based on determining that the partition includes an encoding which satisfies the similarity criterion.
