Capsule Endoscope Motion Detection for Intestinal Imaging
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Solution Overview
Problem
Conventional capsule endoscopes face challenges in efficiently detecting movement within the small intestine, leading to redundant image capture and high power consumption, as they often take time-triggered random pictures without accurately determining the distance traveled, resulting in increased analysis time and unnecessary image data.
Innovation Solution
A capsule endoscope with a motion detector that activates the camera and illumination in fixed intervals based on the distance covered along the tissue surface, using an optical motion detector with a CMOS sensor to detect movement and calculate exact distance traveled, optimizing image acquisition and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If time-triggered random pictures are taken at fixed imaging frequency, then continuous monitoring of the intestine is achieved, but redundant image data is generated and power consumption increases
Solution Approach 1:
The system uses motion detection feedback to control image capture. The motion detector continuously monitors capsule movement, and when movement exceeds a threshold, this triggers the camera to capture images. This feedback mechanism replaces continuous time-triggered capture with event-driven capture, reducing redundant images while maintaining reliable monitoring of significant events.
Solution Approach 2:
The imaging frequency is made dynamic rather than fixed. The system adjusts the imaging frequency based on real-time motion detection conditions. When the capsule is stationary or moving slowly, imaging frequency is reduced or paused. When motion threshold is exceeded, imaging frequency increases to capture the event. This dynamic adjustment resolves the contradiction between continuous monitoring and power consumption.
2Reliability
If images are captured at fixed time intervals regardless of movement, then monitoring coverage is comprehensive, but analysis time increases due to redundant pictures
Solution Approach 1:
Motion detection feedback controls the imaging process. The system continuously monitors capsule motion and only triggers image capture when movement exceeds the predefined threshold. This ensures that captured images correspond to actual movement events, eliminating redundant stationary images and reducing analysis time while maintaining comprehensive monitoring coverage of significant events.
Solution Approach 2:
Instead of capturing images at every fixed time interval (excessive action), the system captures images only when motion threshold is exceeded (partial action). This selective imaging approach reduces the total number of images by eliminating redundant captures during periods of no significant movement, thereby reducing analysis time while maintaining adequate monitoring coverage.
3Reliability
If the camera is activated continuously to capture all movements, then no pathological areas are missed, but power consumption and data redundancy increase
Solution Approach 1:
The system uses motion detection feedback to intelligently control camera activation. The motion detector continuously monitors capsule movement and provides feedback to the control unit. When movement exceeds the threshold, the camera is activated to capture potential pathological areas. When movement is below threshold, the camera remains inactive. This feedback-based selective activation ensures pathological areas are not missed while eliminating energy waste from continuous operation.
Solution Approach 2:
The camera activation state is made dynamic rather than continuous. The system transitions between active and inactive states based on real-time motion conditions. This dynamic activation ensures the camera is operational during significant movement events where pathological areas might be present, while remaining inactive during stationary periods to conserve energy, thus resolving the contradiction between detection reliability and energy efficiency.
4Reliability
If motion detection threshold is set low to detect all movements, then comprehensive monitoring is achieved, but redundant images are captured during normal peristalsis
Solution Approach 1:
The motion detection threshold parameter is optimized to distinguish between normal peristalsis and significant movements. By setting the threshold at an appropriate level, the system filters out normal physiological movements that generate redundant images while still detecting significant movements that may indicate pathological areas. This parameter optimization balances detection sensitivity with image processing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces power consumption, minimizes redundant image capture, and streamlines analysis by ensuring only necessary images are taken, thereby enhancing the efficiency of image acquisition and processing.
Implementation Method 1
an optical motion detector with a CMOS sensor to detect movement
Data Source
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AI summary
The present invention discloses an autonomous video capsule for acquiring a sequence of images within an examination space, comprising a capsule like housing with a transparent end portion and an imaging unit that records images of an examination space; the imaging unit is accommodated in the capsule and arranged on an end of the capsule and covered by the transparent end portion; the video capsule further comprising a motion detector for detecting a motion of said capsule relative to a tissue surface of the examination space; processing and storage means within the capsule, at least one light source within the capsule and an energy source within the capsule for the energy supply of the imaging unit, the motion detector, the processing and storage means and the light source, wherein the motion detector is configured to detect a distance which the capsule has covered alongside the tissue surface of the examination space and is further configured to activate the imaging unit and the light source to record pictures when the capsule has covered a predetermined distance in the examination space after a previously recorded picture.