18753187. SOLID-STATE IMAGE CAPTURING SYSTEM, SOLID STATE IMAGE CAPTURING DEVICE, INFORMATION PROCESSING DEVICE, IMAGE PROCESSING METHOD, INFORMATION PROCESSING METHOD, AND PROGRAM simplified abstract (SONY SEMICONDUCTOR SOLUTIONS CORPORATION)
SOLID-STATE IMAGE CAPTURING SYSTEM, SOLID STATE IMAGE CAPTURING DEVICE, INFORMATION PROCESSING DEVICE, IMAGE PROCESSING METHOD, INFORMATION PROCESSING METHOD, AND PROGRAM
Organization Name
SONY SEMICONDUCTOR SOLUTIONS CORPORATION
Inventor(s)
SUGURU Kobayashi of KANAGAWA (JP)
SOLID-STATE IMAGE CAPTURING SYSTEM, SOLID STATE IMAGE CAPTURING DEVICE, INFORMATION PROCESSING DEVICE, IMAGE PROCESSING METHOD, INFORMATION PROCESSING METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18753187 titled 'SOLID-STATE IMAGE CAPTURING SYSTEM, SOLID STATE IMAGE CAPTURING DEVICE, INFORMATION PROCESSING DEVICE, IMAGE PROCESSING METHOD, INFORMATION PROCESSING METHOD, AND PROGRAM
Simplified Explanation: The patent application describes a system that uses two deep neural network (DNN) processing units to process image data in two stages, generating results sequentially.
Key Features and Innovation:
- Utilizes a first DNN processing unit in a solid-state image capturing device to execute part of a DNN algorithm on image data.
- The first result generated by the first DNN processing unit is then passed to a second DNN processing unit in an information processing device.
- The second DNN processing unit executes the remaining part of the DNN algorithm to generate a second result.
Potential Applications:
- Image processing and analysis in various industries such as healthcare, security, and automotive.
- Real-time object recognition and classification in surveillance systems.
- Enhanced image quality and feature extraction in digital cameras and smartphones.
Problems Solved:
- Streamlines the processing of complex DNN algorithms for image analysis.
- Improves efficiency and accuracy in image recognition tasks.
- Enables seamless integration of DNN technology in image capturing devices.
Benefits:
- Faster and more accurate image processing.
- Enhanced capabilities for object detection and classification.
- Potential for improved image quality and feature extraction.
Commercial Applications: The technology could be applied in industries such as:
- Healthcare for medical imaging analysis.
- Security for surveillance systems.
- Automotive for driver assistance systems.
Questions about the Technology: 1. How does the use of two DNN processing units improve image processing efficiency? 2. What are the potential limitations of this system in real-world applications?
Frequently Updated Research: Stay updated on advancements in DNN algorithms and image processing techniques to enhance the system's performance and capabilities.
Original Abstract Submitted
A solid-state image capturing system () includes a solid-state image capturing device () and an information processing device (). The solid-state image capturing device () includes a first DNN processing unit () that executes, on image data, a part of a DNN algorithm by a first DNN to generate a first result. The information processing device () includes a second DNN processing unit () that executes, on the first result acquired from the solid-state image capturing device, remaining of the DNN algorithm by a second DNN to generate a second result.
