Toyota jidosha kabushiki kaisha (20240135730). VEHICLE CABIN STATE RECOGNIZING DEVICE simplified abstract
Contents
- 1 VEHICLE CABIN STATE RECOGNIZING DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VEHICLE CABIN STATE RECOGNIZING DEVICE - 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 How does this technology impact driver privacy?
- 1.11 What are the limitations of this technology in different lighting conditions?
- 1.12 Original Abstract Submitted
VEHICLE CABIN STATE RECOGNIZING DEVICE
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Hiroshi Nakada of Toyota-shi (JP)
VEHICLE CABIN STATE RECOGNIZING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135730 titled 'VEHICLE CABIN STATE RECOGNIZING DEVICE
Simplified Explanation
The vehicle cabin state recognizing device of the present disclosure includes a plurality of cameras capable of capturing an image of a vehicle cabin provided on a steering wheel, and an image processing device connected to the plurality of cameras. The image processing device first acquires a captured image from each of the plurality of cameras. The image processing device then determines a shielding state of each of the plurality of cameras from a state of a captured image of each of the plurality of cameras. The image processing device further selects a captured image of the minimum shielding camera having the smallest shielding degree among the plurality of cameras. Then, the image processing device executes recognition processing for recognizing the state of the vehicle cabin with respect to the captured image of the minimum shielding camera.
- The device includes multiple cameras to capture images of the vehicle cabin.
- An image processing device analyzes the captured images to determine the shielding state of each camera.
- The device selects the image with the least amount of shielding for recognition processing of the vehicle cabin state.
Potential Applications
This technology can be applied in:
- Automotive safety systems
- Driver monitoring systems
- Vehicle security systems
Problems Solved
This technology helps in:
- Enhancing driver safety
- Monitoring the vehicle cabin for security purposes
- Improving overall vehicle performance
Benefits
The benefits of this technology include:
- Real-time monitoring of the vehicle cabin
- Enhanced safety features for drivers
- Improved security measures for vehicles
Potential Commercial Applications
Potential commercial applications of this technology include:
- Automotive industry for integrating into vehicles
- Security companies for vehicle surveillance systems
- Technology companies for developing advanced driver assistance systems
Possible Prior Art
One possible prior art for this technology could be the use of cameras in vehicles for driver monitoring systems. Another could be the use of image processing devices for analyzing captured images in real-time.
Unanswered Questions
How does this technology impact driver privacy?
The article does not address the potential privacy concerns that may arise from constant monitoring of the vehicle cabin. It would be important to consider how this technology balances safety and privacy.
What are the limitations of this technology in different lighting conditions?
The article does not mention how the device performs in various lighting conditions, such as low light or direct sunlight. Understanding the limitations of the technology in different lighting scenarios is crucial for its practical application.
Original Abstract Submitted
the vehicle cabin state recognizing device of the present disclosure includes a plurality of cameras capable of capturing an image of a vehicle cabin provided on a steering wheel, and an image processing device connected to the plurality of cameras. the image processing device first acquires a captured image from each of the plurality of cameras. the image processing device then determines a shielding state of each of the plurality of cameras from a state of a captured image of each of the plurality of cameras. the image processing device further selects a captured image of the minimum shielding camera having the smallest shielding degree among the plurality of cameras. then, the image processing device executes recognition processing for recognizing the state of the vehicle cabin with respect to the captured image of the minimum shielding camera.
