18274590. CONGESTION DEGREE DETERMINATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract (NEC Corporation)

From WikiPatents
Jump to navigation Jump to search

CONGESTION DEGREE DETERMINATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

Organization Name

NEC Corporation

Inventor(s)

Daichi Sato of Tokyo (JP)

Atsushi Kitaura of Tokyo (JP)

Kenichi Abe of Tokyo (JP)

Xiaosu Diao of Tokyo (JP)

Daisuke Kawasaki of Tokyo (JP)

Kaori Yamane of Tokyo (JP)

CONGESTION DEGREE DETERMINATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18274590 titled 'CONGESTION DEGREE DETERMINATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

Simplified Explanation

The congestion degree determination apparatus acquires and analyzes images captured by an in-vehicle camera to determine the congestion degree of a target vehicle based on the number of persons present in different areas of the vehicle.

  • The apparatus uses images captured by an in-vehicle camera to determine the congestion degree of a target vehicle.
  • It identifies the areas where each person is positioned inside the vehicle.
  • The congestion degree is determined based on the number of persons in each area of the vehicle.

Potential Applications

This technology could be applied in various fields such as transportation management, smart cities, and automotive safety systems.

Problems Solved

This technology helps in assessing the congestion level inside a vehicle, which can be crucial for optimizing traffic flow and ensuring passenger comfort and safety.

Benefits

- Improved traffic management - Enhanced passenger safety and comfort - Potential for real-time congestion monitoring

Potential Commercial Applications

"Congestion Degree Determination Technology for Smart Transportation Systems"

Possible Prior Art

There may be prior art related to image analysis for congestion detection in vehicles, but specific examples are not provided in this abstract.

Unanswered Questions

How does the apparatus differentiate between individuals in the captured images?

The abstract does not detail the specific methods used to identify and track individuals within the vehicle.

What types of vehicles can this technology be applied to?

The abstract does not specify if this technology is limited to specific types of vehicles or if it can be implemented across various vehicle models.


Original Abstract Submitted

A congestion degree determination apparatus () acquires a captured image () generated by an in-vehicle camera that captures an inside of a target vehicle. The congestion degree determination apparatus () determines, for each of persons () present in the target vehicle, an area () in which the person () is positioned out of a plurality of areas () in the target vehicle using the captured image (). The congestion degree determination apparatus () determines the congestion degree of the target vehicle using the number of the persons () positioned in each of two or more of the areas ().