View source for Nec corporation (20240161260). IMAGE ANALYSIS APPARATUS, IMAGE ANALYSIS METHOD, AND COMPUTER READABLE MEDIUM STORING PROGRAM simplified abstract

=IMAGE ANALYSIS APPARATUS, IMAGE ANALYSIS METHOD, AND COMPUTER READABLE MEDIUM STORING PROGRAM=


==Organization Name==

[[:Category:nec corporation|nec corporation]]


[[Category:nec corporation]]

==Inventor(s)==

[[:Category:Konomi Sasayama of Tokyo (JP)|Konomi Sasayama of Tokyo (JP)]][[Category:Konomi Sasayama of Tokyo (JP)]]

==IMAGE ANALYSIS APPARATUS, IMAGE ANALYSIS METHOD, AND COMPUTER READABLE MEDIUM STORING PROGRAM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240161260 titled 'IMAGE ANALYSIS APPARATUS, IMAGE ANALYSIS METHOD, AND COMPUTER READABLE MEDIUM STORING PROGRAM

==Simplified Explanation==

The image analysis apparatus described in the abstract performs area division on an image of a road surface, classifies the image into different categories, estimates depth, and detects irregularities on the road surface based on the area division and depth estimation.

* Area division unit: Classifies the image into different categories based on road surface features.
* Depth estimation unit: Estimates the depth of the road surface in the image.
* Detection unit: Detects irregularities on the road surface using the area division and depth estimation information.

== Potential Applications ==
This technology can be used in autonomous vehicles for real-time road surface analysis, road maintenance planning, and infrastructure monitoring.

== Problems Solved ==
This technology helps in identifying and detecting irregularities on the road surface, which can improve road safety and maintenance efforts.

== Benefits ==
The benefits of this technology include improved road safety, efficient road maintenance, and enhanced infrastructure monitoring.

== Potential Commercial Applications ==
Potential commercial applications of this technology include integration into autonomous vehicles, road maintenance equipment, and infrastructure monitoring systems.

== Possible Prior Art ==
One possible prior art for this technology could be existing image analysis systems used for road surface inspection and monitoring.

== Unanswered Questions ==

=== How accurate is the depth estimation performed by the apparatus? ===
The accuracy of the depth estimation may vary depending on various factors such as image quality, lighting conditions, and calibration of the apparatus.

=== What is the processing time required for the detection of irregularities on the road surface? ===
The processing time for detecting irregularities may depend on the complexity of the image, the computational power of the apparatus, and the algorithms used for analysis.


==Original Abstract Submitted==

an image analysis apparatus according to the present disclosure includes: an area division unit that performs area division on an image obtained by capturing a road surface, and generates a result of the area division in which the image is classified into image areas of a plurality of categories; a depth estimation unit that performs depth estimation on the image and generates depth estimation information; and a detection unit that detects irregularities present on the road surface based on the result of the area division and the depth estimation information. the plurality of categories include a road category, and the detection unit detects irregularities present on the road surface within the image area classified in the road category.



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