Capsule Endoscope Dynamic Frame Rate Control via Sensor-Image Fusion
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Solution Overview
Problem
Capsule endoscopes face challenges in efficiently managing imaging frame rates to balance image quality and power consumption during movement within the human body, as existing methods rely on either image comparison or sensor data, leading to inaccurate mode switching and potential blurring or power wastage.
Innovation Solution
A capsule endoscope system that includes an imaging unit, a data acquiring unit, and a control unit capable of switching between multiple modes based on both image analysis results and sensor data analysis, allowing for dynamic adjustment of imaging frame rates to optimize image quality and power usage during different motion states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the imaging frame rate is increased to reduce missed imaging during high-speed movement, then the image capture capability is improved, but the power consumption increases
Solution Approach 1:
The imaging frame rate is dynamically adjusted based on the detected movement state of the capsule endoscope. When movement is detected (indicating the capsule is moving through the digestive tract), the frame rate is increased to prevent missed imaging. When no movement is detected (indicating the capsule has stopped), the frame rate is decreased to conserve power. This dynamic adaptation resolves the contradiction between maintaining high imaging productivity during movement and reducing power consumption during stationary periods.
Solution Approach 2:
The system changes the imaging parameter (frame rate) based on the operational conditions detected by the acceleration sensor. The control unit switches between a first frame rate (higher) when movement is detected and a second frame rate (lower) when stationary, optimizing the balance between imaging quality and power consumption according to the actual operational state.
2Ease of operation
If the frame rate is controlled based on image comparison or sensor data alone, then the control simplicity is improved, but the mode switching accuracy deteriorates
Solution Approach 1:
The control unit combines both sensor data (from the acceleration sensor) and image data (from the imaging unit) to determine the movement state and control the frame rate. This merged approach leverages the advantages of both methods: sensor data provides simple motion detection while image data provides verification of actual imaging changes. The combination improves mode switching accuracy while maintaining relatively simple control logic through centralized processing in the control unit.
Solution Approach 2:
The system implements feedback control by continuously monitoring both sensor readings and image content, comparing the current state with previous states, and adjusting the frame rate accordingly. The control unit uses this feedback loop to accurately determine when to switch between different imaging modes, improving the precision of mode switching while maintaining automated simple operation.
Data Source
AI summary
A capsule endoscope includes: an imaging unit that images a subject and to acquire an image of the subject and is set to either of a first mode and a second mode; a data acquiring unit that acquires data other than an image; and a control unit that switches a mode of the imaging unit between the first mode and the second mode based on an analysis result of the image and an analysis result of the data. The control unit switches the mode of the imaging unit to the second mode based on the analysis result of the data when the mode of the imaging unit is set to the first mode, and switches the mode of the imaging unit to the first mode based on the analysis result of the image when the mode of the imaging unit is set to the second mode.