18597919. ESTIMATION DEVICE simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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ESTIMATION DEVICE

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Hisamasa Mori of Miyoshi-shi (JP)

ESTIMATION DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18597919 titled 'ESTIMATION DEVICE

Simplified Explanation:

This patent application describes a device that can estimate the depth of a tire groove by acquiring an image of the tire tread.

  • The device includes a memory and a processor.
  • The processor acquires an image of the tire tread.
  • Based on the image, the processor estimates the depth of the tire groove.

Key Features and Innovation:

  • Acquiring an image of the tire tread to estimate groove depth.
  • Memory and processor configuration for image processing.
  • Non-invasive method for assessing tire tread wear.

Potential Applications:

This technology could be used in:

  • Automotive maintenance shops.
  • Tire manufacturing facilities.
  • Vehicle safety inspections.

Problems Solved:

  • Provides a quick and accurate way to assess tire tread wear.
  • Helps prevent accidents due to worn-out tires.
  • Improves overall vehicle safety.

Benefits:

  • Enhances vehicle safety.
  • Saves time and resources in tire maintenance.
  • Increases the lifespan of tires.

Commercial Applications:

Commercially, this technology could be utilized in:

  • Tire shops for quick tire assessments.
  • Vehicle inspection centers for safety checks.
  • Tire manufacturing plants for quality control.

Prior Art:

Prior art related to this technology may include:

  • Image processing techniques for tire inspection.
  • Tire tread depth measurement devices.
  • Automated systems for tire maintenance.

Frequently Updated Research:

Stay updated on advancements in:

  • Image processing algorithms for tire analysis.
  • Integration of this technology into autonomous vehicles.

Questions about Tire Groove Depth Estimation:

1. How does the device acquire an image of the tire tread? 

  - The device uses a camera or similar imaging technology to capture the image of the tire tread.

2. What factors can affect the accuracy of the depth estimation? 

  - Factors such as lighting conditions, tire material, and image resolution can impact the accuracy of the estimation.


Original Abstract Submitted

An estimation device includes a memory; and a processor coupled to the memory, wherein the processor is configured to: acquire an image of a tread of a tire that is installed at a vehicle; and estimate a depth of a groove of the tire based on the image.

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