Event-Frame Image Fusion for Motion-Aware Region Processing
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Solution Overview
Problem
Existing methods have not sufficiently explored the combination of event driven vision sensors with frame-based vision sensors for enhanced image processing.
Innovation Solution
An image processing device that synchronizes and combines event driven sensors with frame-based sensors, using time stamps and calibration to overlay event signals on RGB images, allowing for region identification and differential image processing based on motion detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple pieces of processing equipment are connected in a network to enable remote monitoring and control, then operator safety is improved by eliminating the need to enter confined spaces, but device complexity increases due to network infrastructure requirements
Solution Approach 1:
The patent creates a virtual copy of the processing equipment's control system that operates remotely over a network. The remote user interface replicates the functionality of on-site control panels, allowing operators to monitor and control equipment parameters, view camera feeds, and receive alarms without physically entering confined spaces. This copying approach eliminates safety risks while avoiding the complexity of completely new hardware infrastructure.
2Ease of manufacture
If existing processing equipment is retrofitted with network capabilities for remote access, then implementation cost is reduced by reusing existing hardware, but device complexity increases due to integration of additional components
Solution Approach 1:
The patent designs the remote user interface system to perform multiple functions through a single integrated software platform: it provides real-time monitoring of process parameters, displays camera feeds, manages alarm notifications, and controls equipment operations. This multi-functional approach allows existing processing equipment to gain remote access capabilities without requiring separate specialized hardware for each function, thereby reducing implementation costs while managing integration complexity through a unified system architecture.
3Productivity
If real-time monitoring and control capabilities are added to processing equipment, then productivity is improved through faster response to process changes, but device complexity increases due to additional sensors and communication interfaces
Solution Approach 1:
The patent implements a feedback mechanism where process parameters monitored by existing sensors are continuously transmitted to the remote user interface, which then allows operators to adjust control setpoints in real-time. The system automatically sends updated control parameters back to the processing equipment, creating a closed-loop feedback system. This enables rapid response to process changes without requiring additional physical sensors or interfaces at the equipment level, as the feedback loop is established through the networked software platform.
Data Source
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AI summary
Provided is an image processing device including a region identifying section that identifies a first region in which a first motion occurs in a subject in an image captured by synchronous scanning, and a second region in which a second motion different from the first motion occurs in the subject or in which the subject is not substantially moving, on the basis of an event signal generated in response to a change in intensity of light in one or a plurality of pixels of the image, and an image processing section that executes image processing different between the first region and the second region on the first region and the second region, in the image.