17970306. METHOD AND SYSTEM FOR USING REMOTE DIRECT MEMORY ACCESS TO STORE METADATA FOR ENCODED DATA USING PROCESSING SYSTEM STORAGE simplified abstract (Dell Products L.P.)
Contents
- 1 METHOD AND SYSTEM FOR USING REMOTE DIRECT MEMORY ACCESS TO STORE METADATA FOR ENCODED DATA USING PROCESSING SYSTEM STORAGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM FOR USING REMOTE DIRECT MEMORY ACCESS TO STORE METADATA FOR ENCODED DATA USING PROCESSING SYSTEM STORAGE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND SYSTEM FOR USING REMOTE DIRECT MEMORY ACCESS TO STORE METADATA FOR ENCODED DATA USING PROCESSING SYSTEM STORAGE
Organization Name
Inventor(s)
Philip Hummel of San Jose CA (US)
Dharmesh M. Patel of Round Rock TX (US)
METHOD AND SYSTEM FOR USING REMOTE DIRECT MEMORY ACCESS TO STORE METADATA FOR ENCODED DATA USING PROCESSING SYSTEM STORAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 17970306 titled 'METHOD AND SYSTEM FOR USING REMOTE DIRECT MEMORY ACCESS TO STORE METADATA FOR ENCODED DATA USING PROCESSING SYSTEM STORAGE
Simplified Explanation
The system described in the abstract is designed to process encoded data from a local source, decode it, perform computer vision inferencing, and take remediation actions based on the results.
- Processor, processing system, and enhanced networking interface are key components of the system.
- The enhanced networking interface obtains encoded data, decodes it, and provides it to the processing system.
- The processing system performs computer vision inferencing on the decoded data and sends the results to the processor for remediation actions.
Potential Applications
The technology can be applied in various fields such as security systems, industrial automation, and autonomous vehicles for real-time decision-making based on computer vision analysis.
Problems Solved
This technology solves the problem of efficiently processing and analyzing encoded data from local sources, enabling quick decision-making based on computer vision inferencing.
Benefits
The system offers faster data processing, real-time decision-making capabilities, and automated remediation actions based on computer vision analysis, enhancing overall system efficiency and performance.
Potential Commercial Applications
"Enhanced Networking Interface for Computer Vision Inferencing and Remediation Actions" can be utilized in industries such as surveillance, manufacturing, and transportation for automated monitoring, analysis, and response to visual data.
Possible Prior Art
One possible prior art could be systems that perform computer vision inferencing on decoded data, but the specific combination of components and actions described in this patent application may be novel.
Unanswered Questions
How does the system ensure data security and privacy during the processing of encoded data?
The article does not provide details on the security measures implemented to protect the encoded data and inferencing results from unauthorized access or breaches.
What are the potential limitations or challenges in implementing this technology in real-world applications?
The article does not address any potential obstacles or constraints that may arise when deploying this system in practical scenarios, such as scalability issues or compatibility with existing infrastructure.
Original Abstract Submitted
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.
