Dell products l.p. (20240096122). SECURITY-BASED IMAGE CLASSIFICATION USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract

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SECURITY-BASED IMAGE CLASSIFICATION USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Organization Name

dell products l.p.

Inventor(s)

Franklin Jebadoss Mohandoss of Austin TX (US)

Bijan Kumar Mohanty of Austin TX (US)

Ramesh Rajendra Rao of Bangalore (IN)

SECURITY-BASED IMAGE CLASSIFICATION USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240096122 titled 'SECURITY-BASED IMAGE CLASSIFICATION USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Simplified Explanation

The abstract describes a method for security-based image classification using artificial intelligence techniques. Here is a simplified explanation of the patent application:

  • Obtaining images
  • Extracting text from images using AI techniques
  • Classifying images into security-based categories using AI techniques
  • Performing automated actions based on image classification

Potential Applications

This technology could be applied in various industries such as cybersecurity, law enforcement, and surveillance systems.

Problems Solved

This technology helps in automating the process of image classification for security purposes, reducing the manual effort required.

Benefits

The benefits of this technology include improved efficiency, accuracy, and speed in classifying images for security purposes.

Potential Commercial Applications

The potential commercial applications of this technology include security software development, image analysis tools, and surveillance systems.

Possible Prior Art

One possible prior art could be traditional image classification techniques that do not involve artificial intelligence.

Unanswered Questions

How does this technology handle images with low quality or resolution?

The article does not address how the technology deals with images that are of poor quality or low resolution.

What is the computational cost of implementing this technology?

The article does not mention the computational resources required to implement this security-based image classification system.


Original Abstract Submitted

methods, apparatus, and processor-readable storage media for security-based image classification using artificial intelligence techniques are provided herein. an example computer-implemented method includes obtaining one or more images; extracting text from at least a portion of the one or more images by processing the one or more images using at least a first set of one or more artificial intelligence techniques; classifying at least one of the one or more images, into one or more of multiple security-based classification categories, by processing at least a portion of the extracted text using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one of the one or more images.