Dell products l.p. (20240135207). METHOD AND SYSTEM FOR COMPUTER VISION INFERENCING USING A PROCESSING SYSTEM WITH DEDICATED HARDWARE simplified abstract

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METHOD AND SYSTEM FOR COMPUTER VISION INFERENCING USING A PROCESSING SYSTEM WITH DEDICATED HARDWARE

Organization Name

dell products l.p.

Inventor(s)

Ian Roche of Glanmire (IE)

Philip Hummel of San Jose CA (US)

Dharmesh M. Patel of Round Rock TX (US)

METHOD AND SYSTEM FOR COMPUTER VISION INFERENCING USING A PROCESSING SYSTEM WITH DEDICATED HARDWARE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135207 titled 'METHOD AND SYSTEM FOR COMPUTER VISION INFERENCING USING A PROCESSING SYSTEM WITH DEDICATED HARDWARE

Simplified Explanation

The system described in the patent application involves a processor, a processing system, processing system storage, and an enhanced networking interface. The networking interface is programmed to obtain encoded data from a local source, analyze metadata associated with the data, and store the metadata in the processing system storage. The processing system then uses this metadata to perform computer vision inferencing on the encoded data, providing the results to the processor for remediation actions.

  • Processor, processing system, storage, and networking interface work together to analyze and act on encoded data.
  • Enhanced networking interface obtains data, analyzes metadata, and stores it for processing system to use in computer vision inferencing.
  • Processing system performs inferencing on data using metadata, providing results to the processor for remediation actions.

Potential Applications

The technology described in this patent application could be applied in various fields such as:

  • Surveillance systems for real-time analysis and action based on video data.
  • Quality control systems in manufacturing for identifying defects and taking corrective measures.
  • Autonomous vehicles for processing visual data and making decisions based on the analysis.

Problems Solved

This technology helps in:

  • Efficiently analyzing and acting on large amounts of encoded data.
  • Improving decision-making processes by using computer vision inferencing.
  • Automating remediation actions based on inferencing data.

Benefits

The benefits of this technology include:

  • Enhanced data analysis capabilities through metadata-driven inferencing.
  • Faster response times to potential issues identified in the data.
  • Improved accuracy in decision-making processes.

Potential Commercial Applications

The technology could be commercially applied in:

  • Security and surveillance systems for proactive threat detection.
  • Manufacturing industries for quality control and process optimization.
  • Transportation sector for autonomous vehicles and traffic management.

Possible Prior Art

One possible prior art for this technology could be the use of computer vision and metadata analysis in surveillance systems for security purposes. This technology builds upon existing methods by integrating networking interfaces and processing systems for more efficient data analysis and remediation actions.

Unanswered Questions

How does the system ensure data privacy and security while analyzing encoded data?

The patent application does not provide details on the specific measures taken to protect the privacy and security of the data being analyzed. It would be important to understand the encryption methods or access controls in place to prevent unauthorized access to sensitive information.

What are the limitations of the system in terms of scalability and processing speed?

The patent application does not address the potential limitations of the system in handling large volumes of data or processing data in real-time. It would be useful to know how the system performs under high loads and if there are any constraints on the processing speed.


Original Abstract Submitted

a system comprising a processor, a processing system operatively connected to the processor, a processing system storage, 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 metadata analysis of the encoded data to obtain metadata associated with the encoded data, and store the metadata in the processing system storage. the processing system is programmed to obtain the metadata from the processing system storage, perform a computer vision (cv) inferencing on the encoded data using the metadata to obtain inferencing data, provide the inferencing data to the processor, and perform, by the processor, a remediation action based on the inferencing data.