Camera Positioning for Ophthalmic Diagnosis
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Solution Overview
Problem
In ophthalmic diagnosis, patients face difficulties in capturing suitable images of their eyes and facial areas using a terminal device like a smartphone, as they cannot directly view the screen while positioning the camera correctly for imaging.
Innovation Solution
A program that uses a processor to detect targets, estimate image capture paths, and switch camera displays based on distance, allowing for the synthesis of indices to adjust image positions and ensure proper alignment of the eye or facial features within a terminal device equipped with both in-camera and out-camera systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera is brought close to the eye to capture the image, then the image quality for diagnosis is improved, but the patient cannot see the screen to confirm proper positioning
Solution Approach 1:
The system adds a temporal dimension by capturing a sequence of images at different positions rather than requiring the patient to view the screen at the moment of capture. The patient captures multiple images by moving the terminal device, and the system automatically selects the appropriate image, eliminating the need for real-time screen viewing while ensuring proper positioning.
Solution Approach 2:
The system performs automatic selection of the captured image based on analysis of multiple frames. The processor automatically determines which captured image is suitable for diagnosis without requiring patient intervention or screen confirmation, making the system self-sufficient in resolving the positioning confirmation issue.
2Ease of operation
If the patient captures images without visual feedback, then the operation is simplified, but the accuracy of image capture positioning deteriorates
Solution Approach 1:
The system performs preliminary capture of multiple images at different positions before selection. By capturing a sequence of images in advance with simple forward movement, the system ensures that at least one properly positioned image is obtained without requiring complex real-time positioning operations.
Solution Approach 2:
The system provides automated feedback by analyzing the captured images and selecting the most appropriate one for diagnosis. The processor evaluates the captured frames and determines suitability, providing implicit feedback that replaces the need for direct patient visual confirmation while maintaining capture accuracy.
3Ease of operation
If multiple cameras are used to provide visual feedback, then the positioning confirmation is improved, but the device complexity increases
Solution Approach 1:
The single imaging camera serves multiple functions: capturing the diagnostic image and providing positioning information through the captured frame analysis. The same camera that would be used for diagnosis is utilized to determine proper positioning, eliminating the need for separate feedback cameras and reducing overall system complexity.
Solution Approach 2:
The processor acts as an intermediary that analyzes the captured images to determine positioning accuracy. Rather than adding physical cameras for feedback, the system uses computational analysis of the captured frames to provide positioning information, mediating between the simple capture operation and the diagnostic requirement.
Data Source
AI summary
There is provided a device that causes a processor to execute detection of a first target in a first image acquired by a first camera, estimation of a length of a path from the detected first camera to the first target, and switching of display of a second image acquired by a second camera on the basis of the length of the path, and synthesis of an index for adjusting a position of a second target in the second image.