18212416. DISPLAY SYSTEM, DISPLAY DEVICE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM simplified abstract (SEIKO EPSON CORPORATION)

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DISPLAY SYSTEM, DISPLAY DEVICE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM

Organization Name

SEIKO EPSON CORPORATION

Inventor(s)

Hiroki Nishioka of Suwa-shi (JP)

DISPLAY SYSTEM, DISPLAY DEVICE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18212416 titled 'DISPLAY SYSTEM, DISPLAY DEVICE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM

Simplified Explanation

The patent application describes a display system that uses machine learning to determine the content to be displayed based on the behavior of a human passing through a specific position. Here are the key points:

  • The display system consists of a display device, an imaging device, a storage device, and a processing device.
  • The display device shows an image based on content information at a specific display position.
  • The imaging device captures images of a human who is about to pass through the display position.
  • The storage device stores a learned model that is created by applying machine learning to the relationship between the human's behavior features, the content information, and the risk level associated with the human.
  • The processing device uses the imaging results from the imaging device to obtain pre-passage behavior data, which represents the behavior of the human.
  • The processing device then utilizes the pre-passage behavior data and the learned model to determine the appropriate content information to be displayed.

Potential applications of this technology:

  • Advertising displays that can adapt their content based on the behavior of individuals passing by.
  • Security systems that can assess the risk level of individuals and display appropriate warnings or alerts.
  • Interactive displays that can provide personalized content based on the behavior of users.

Problems solved by this technology:

  • Traditional display systems often show static content that may not be relevant or engaging to viewers.
  • Security systems may not have an efficient way to assess the risk level of individuals passing through specific areas.
  • Interactive displays may struggle to provide personalized content without a proper understanding of user behavior.

Benefits of this technology:

  • Improved engagement and relevance of displayed content, leading to a better user experience.
  • Enhanced security by assessing the risk level of individuals and displaying appropriate warnings or alerts.
  • Personalized content delivery based on user behavior, increasing user satisfaction and interaction.


Original Abstract Submitted

A display system is provided with a display device, a first imaging device, a storage device, and a processing device. The display device displays an image based on content information at a display position. The first imaging device images a human who is going to pass through the display position. The storage device stores a learned model obtained by performing machine learning on a correspondence relation between features of a behavior of the human, the content information to be used for the image, and a degree of risk of the human. The processing device obtains pre-passage behavior data representing a behavior of the human based on imaging result of the first imaging device, and determines the content information to be used for the image using the pre-passage behavior data and the learned model.

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