20240029428. AUTOMATED DETECTION AND RECOMMENDATIONS RELATED TO ACCESSIBILITY FEATURE COMPLIANCE IN PHYSICAL ENVIRONMENTS simplified abstract (Unknown Organization)

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AUTOMATED DETECTION AND RECOMMENDATIONS RELATED TO ACCESSIBILITY FEATURE COMPLIANCE IN PHYSICAL ENVIRONMENTS

Organization Name

Unknown Organization

Inventor(s)

Sanjana Ryali of San Jose CA (US)

Sivani Ryali of San Jose CA (US)

AUTOMATED DETECTION AND RECOMMENDATIONS RELATED TO ACCESSIBILITY FEATURE COMPLIANCE IN PHYSICAL ENVIRONMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240029428 titled 'AUTOMATED DETECTION AND RECOMMENDATIONS RELATED TO ACCESSIBILITY FEATURE COMPLIANCE IN PHYSICAL ENVIRONMENTS

Simplified Explanation

The patent application describes methods, systems, and apparatus for determining whether a physical environment complies with accessibility guidelines. It involves receiving input data, such as image data representing a portion of a physical environment, from a client device. The input data is then processed by a trained accessibility feature detection model to detect a specific structural feature and determine if it meets a first accessibility guideline. The output of the model is used to determine if the image data includes the specific structural feature that meets the first accessibility guideline. Based on this determination, an accessibility report is generated and displayed on the client device.

  • The patent application involves determining compliance with accessibility guidelines in a physical environment.
  • Input data, including image data, is received from a client device.
  • A trained accessibility feature detection model is used to detect a specific structural feature.
  • The model determines if the detected structural feature meets a first accessibility guideline.
  • The output of the model is used to determine if the image data includes the specific structural feature that meets the first accessibility guideline.
  • An accessibility report is generated and displayed on the client device based on the determination.

Potential Applications:

  • This technology can be used in architectural design and construction to ensure compliance with accessibility guidelines.
  • It can be utilized in building inspections to identify structural features that do not meet accessibility standards.
  • The technology can be integrated into mobile applications or devices to provide real-time accessibility assessments of physical environments.

Problems Solved:

  • The technology solves the problem of manually inspecting physical environments for compliance with accessibility guidelines.
  • It automates the process of detecting specific structural features and determining if they meet accessibility standards.
  • It provides a more efficient and accurate way to generate accessibility reports.

Benefits:

  • The technology saves time and resources by automating the assessment of accessibility compliance.
  • It ensures that physical environments are accessible to individuals with disabilities.
  • It provides a standardized and consistent approach to evaluating accessibility in different locations.
  • The technology can help architects, builders, and inspectors identify and address accessibility issues early in the design or construction process.


Original Abstract Submitted

methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining whether a physical environment includes structural features that comply with accessibility guidelines. in one example method, input data, which can include image data representing an image of a particular portion of a physical environment, can be received from a client device. the image data can be input to a trained accessibility feature detection model, which can be trained to detect a particular structural feature and determine whether it meets a first accessibility guideline for the particular structural feature. the data output by the model can be used to determine whether the image data includes the particular structural feature that meets the first accessibility guideline, and based on this determination, an accessibility report can be generated and provided for display on the client device.

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