18595686. IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)
IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Ryosuke Tsuji of Kanagawa (JP)
IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18595686 titled 'IMAGING SYSTEM, IMAGING DEVICE, INFORMATION PROCESSING SERVER, IMAGING METHOD, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation:
The patent application describes an imaging system that uses a neural network for object detection.
- Training data inputting unit inputs training data for object detection.
- Network structure designation unit designates a restriction of the network structure.
- Dictionary generation unit generates dictionary data based on training data and network structure restriction.
- Imaging device performs object detection using the generated dictionary data and controls imaging of detected objects.
Key Features and Innovation:
- Utilizes a neural network for object detection.
- Training data inputting unit for inputting training data.
- Network structure designation unit for designating network structure restrictions.
- Dictionary generation unit for generating dictionary data based on training data and network structure restrictions.
- Imaging device for performing object detection and imaging control.
Potential Applications:
- Surveillance systems
- Autonomous vehicles
- Robotics
- Medical imaging
- Industrial automation
Problems Solved:
- Efficient object detection
- Accurate imaging control
- Streamlined data processing
Benefits:
- Improved accuracy in object detection
- Enhanced imaging control capabilities
- Faster processing of data
Commercial Applications:
The technology can be applied in various industries such as surveillance, automotive, healthcare, manufacturing, and more, to enhance object detection and imaging capabilities.
Questions about Object Detection Technology: 1. How does the neural network improve object detection accuracy? 2. What are the potential limitations of using a neural network for object detection?
2. Another relevant generic question, with a detailed answer.
Original Abstract Submitted
An imaging system that performs object detection on the basis of a neural network includes: training data inputting unit configured to input training data for the object detection; network structure designation unit configured to designate a restriction of a network structure in the object detection; dictionary generation unit configured to generate dictionary data for the object detection on the basis of the training data and the restriction of the network structure; and an imaging device configured to perform the object detection on the basis of the dictionary data generated by the dictionary generation unit and performs predetermined imaging control on an object detected through the object detection.
