Real-Time Undesired Object Removal in Image Detection
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Solution Overview
Problem
Conventional image detection systems cannot correct for moving objects in real-time or near-real-time during image capture, requiring post-processing and skilled user intervention, which is inefficient and limits on-site image correction.
Innovation Solution
A device and method that detect image data for two frames, determine motion of undesired objects, and replace image data from the first frame with data from the second frame to remove obstructions, allowing for real-time correction and storage of the improved image on the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If post-processing is used to remove undesired objects from images, then image correction can be achieved, but it requires skilled user intervention and cannot be performed in real-time
Solution Approach 1:
The system performs automatic undesired object removal without requiring user skill. The processor automatically detects moving objects in the scene, identifies them as undesired, and removes them from the captured image data, making the correction process self-service and eliminating the need for skilled user intervention.
Solution Approach 2:
The system performs image correction at the location of capture before the user needs to view or use the image. By detecting and removing undesired objects in real-time during the capture process, the system prepares the corrected image data in advance, eliminating the need for post-processing and skilled user intervention later.
2Measurement precision
If post-processing is used to correct image data, then undesired objects can be removed, but it requires storage of multiple images and cannot be done at the location of capture
Solution Approach 1:
The system performs image correction at the location of capture before the user needs to view or use the image. By detecting and removing undesired objects in real-time during the capture process, the system prepares the corrected image data in advance, eliminating the need for post-processing and skilled user intervention later.
Solution Approach 2:
The system extracts only the corrected image data for storage, removing undesired objects and unnecessary original image data. This extraction principle reduces storage requirements by keeping only the essential corrected result rather than storing multiple original images needed for post-processing.
3Productivity
If conventional image detection systems are used, then image capture is simple, but real-time removal of moving objects is not possible
Solution Approach 1:
The system continuously captures image data frames and performs real-time analysis to detect moving objects. By maintaining continuous operation during the capture process, the system can identify undesired objects and remove them in real-time, enabling both efficient capture and precise correction simultaneously.
Solution Approach 2:
The system uses motion detection to identify undesired objects in real-time and provides feedback by automatically removing them from the captured image data. This feedback loop enables continuous improvement of image quality during capture, achieving both high productivity and real-time correction precision.
Data Source
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AI summary
A method and image detection device are provided for removal of undesired objects from image data. In one embodiment, a method includes detecting image data for a first frame, detecting image data for a second frame, and detecting motion of an undesired object based, at least in part, on image data for the first and second frames. Image data of the first frame may be replaced with image data of the second frame to generate corrected image data, wherein the undesired object is removed from the corrected image data. The corrected image data may be stored.