Nec corporation (20240104931). ROAD SURVEILLANCE SYSTEM, ROAD SURVEILLANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM simplified abstract
Contents
- 1 ROAD SURVEILLANCE SYSTEM, ROAD SURVEILLANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ROAD SURVEILLANCE SYSTEM, ROAD SURVEILLANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ROAD SURVEILLANCE SYSTEM, ROAD SURVEILLANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM
Organization Name
Inventor(s)
ROAD SURVEILLANCE SYSTEM, ROAD SURVEILLANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104931 titled 'ROAD SURVEILLANCE SYSTEM, ROAD SURVEILLANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM
Simplified Explanation
The road surveillance system described in the patent application includes a video acquisition unit, a target determination unit, and a display control unit. The video acquisition unit captures a video of the road, while the target determination unit analyzes frame images from the video to determine if they meet certain criteria. The display control unit then displays information based on the analysis results, showing detection information for images that are not analysis targets and analysis results for images that are.
- Video acquisition unit captures video of the road
- Target determination unit analyzes frame images to determine if they meet specific criteria
- Display control unit shows detection information for non-target images and analysis results for target images
Potential Applications
The technology described in the patent application could be used in various applications such as:
- Traffic monitoring systems
- Security surveillance systems
- Automated driving assistance systems
Problems Solved
This technology helps in:
- Efficiently analyzing video footage
- Identifying specific targets in a video stream
- Displaying relevant information in real-time
Benefits
The benefits of this technology include:
- Improved road safety
- Enhanced surveillance capabilities
- Streamlined data analysis processes
Potential Commercial Applications
The technology could be applied in commercial settings such as:
- Traffic management companies
- Security firms
- Automotive industry for driver assistance systems
Possible Prior Art
One possible prior art for this technology could be existing video surveillance systems used in traffic monitoring or security applications.
Unanswered Questions
How does the system handle different lighting conditions in the video footage?
The patent application does not specify how the system adjusts for varying lighting conditions that may affect the analysis of the frame images.
What is the processing time required for analyzing each frame image?
The patent application does not provide information on the processing time needed to analyze each frame image and determine if it meets the criteria for being an analysis target.
Original Abstract Submitted
a road surveillance system includes a video acquisition unit, a target determination unit, and a display control unit. the video acquisition unit acquires a video that captures a road. the target determination unit determines, based on a result of comparison between at least one frame image constituting the video and a reference image, and a first criterion, whether the at least one frame image is an analysis target. the display control unit causes a display unit to display information based on a result of the determination. the display control unit includes a first control unit and a second control unit. the first control unit causes the display unit to display an analysis result of at least one frame image being determined to be an analysis target. the second control unit causes the display unit to display detection information indicating that a frame image not being an analysis target is detected.
