18701060. BODY WEARABLE TERMINAL AND INFORMATION PROCESSING SYSTEM simplified abstract (SONY SEMICONDUCTOR SOLUTIONS CORPORATION)
Contents
- 1 BODY WEARABLE TERMINAL AND INFORMATION PROCESSING SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 BODY WEARABLE TERMINAL AND INFORMATION PROCESSING SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Image Capture Technology
- 1.13 Original Abstract Submitted
BODY WEARABLE TERMINAL AND INFORMATION PROCESSING SYSTEM
Organization Name
SONY SEMICONDUCTOR SOLUTIONS CORPORATION
Inventor(s)
Atsushi Suzuki of Kanagawa (JP)
Yusuke Minagawa of Kanagawa (JP)
BODY WEARABLE TERMINAL AND INFORMATION PROCESSING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18701060 titled 'BODY WEARABLE TERMINAL AND INFORMATION PROCESSING SYSTEM
Simplified Explanation
The patent application describes a method that switches between global shutter and local shutter methods for capturing images. It involves generating frames based on image signals, estimating self-position, and detecting objects.
- A pixel control unit performs local and global shutter on a pixel.
- An image generation unit creates frames based on image signals.
- A self-position estimation unit generates a surrounding map from the first frame.
- An object detection unit identifies target objects in the second frame.
Key Features and Innovation
- Switching between global and local shutter methods for image capture.
- Generation of frames based on image signals.
- Estimation of self-position using the first frame.
- Detection of target objects in the second frame.
Potential Applications
This technology could be used in surveillance systems, autonomous vehicles, and robotics for object detection and tracking.
Problems Solved
This technology addresses the need for efficient image capture methods that can adapt to different scenarios and environments.
Benefits
- Improved image capture quality.
- Enhanced object detection capabilities.
- Increased flexibility in image processing.
Commercial Applications
Title: Advanced Image Capture Technology for Surveillance Systems This technology can be applied in surveillance systems for better object detection and tracking, enhancing overall security measures. It can also be utilized in autonomous vehicles for improved navigation and obstacle avoidance.
Prior Art
Further research can be conducted on existing patents related to image capture methods, self-position estimation, and object detection in various industries.
Frequently Updated Research
Stay updated on advancements in image processing algorithms, object detection technologies, and self-position estimation methods to enhance the capabilities of this innovation.
Questions about Image Capture Technology
1. How does this technology improve image quality compared to traditional methods?
This technology enhances image quality by utilizing both global and local shutter methods, allowing for better adaptation to different lighting conditions and motion speeds.
2. What are the potential challenges in implementing this technology in real-world applications?
Some challenges may include optimizing the switching between global and local shutter methods, ensuring compatibility with existing systems, and addressing any latency issues that may arise during image processing.
Original Abstract Submitted
Switching is performed between a global shutter method and a local shutter method. A pixel control unit performs local shutter and global shutter on a pixel. The image generation unit generates a first frame, which is an image based on the first image signal, and a second frame, which is an image based on the second image signal. The self-position estimation unit generates a surrounding map from the first frame. The object detection unit detects a target object from the second frame and generates target object information.
