Display Device Adjusting Brightness for Patient Feature Point Detection
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Solution Overview
Problem
In telemedicine, accurate detection of feature points in patient images is hindered by low lighting conditions, backlighting, and dark skin tones, leading to inaccuracies in vital sign detection and diagnosis.
Innovation Solution
A display device that corrects image brightness and adjusts display parameters to identify feature points, including an omega shape, and transmits environment guide information to ensure proper lighting and posture, allowing for accurate detection of biometric information and vital signs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image capture is performed in indoor environments with varying lighting conditions, then telemedicine diagnosis can be conducted remotely, but detection accuracy of feature points deteriorates due to dark images or backlighting
Solution Approach 1:
The system performs preliminary actions by providing environment guide information to the patient before image capture, guiding them to adjust their posture and the lighting conditions. This preliminary adjustment ensures that when the image is actually captured, the lighting conditions are optimal for feature point detection, thereby resolving the contradiction between remote diagnosis capability and detection accuracy.
Solution Approach 2:
The system uses feedback by analyzing the captured image to determine lighting conditions and providing environment guide information back to the patient. This feedback loop allows the system to adapt to varying lighting conditions and guide the patient to improve image quality, maintaining feature point detection accuracy while enabling remote telemedicine diagnosis.
2Ease of operation
If feature point detection is performed on images with dark skin tones or improper positioning, then remote patient monitoring is enabled, but identification accuracy of vital sign detection areas deteriorates
Solution Approach 1:
The system performs preliminary action by providing environment guide information that includes posture adjustment instructions to the patient before image capture. This ensures that the patient is properly positioned and lighting conditions are optimized, which improves the accuracy of vital sign detection area identification while maintaining ease of remote patient monitoring.
Solution Approach 2:
The system applies parameter changes by adjusting display parameters of the image based on detected lighting conditions. This includes modifying brightness, contrast, and other display parameters to optimize the visibility of feature points and vital sign detection areas, thereby improving identification accuracy while maintaining remote patient monitoring capability.
Data Source
AI summary
A display device includes: a display; communication circuitry configured to communicate with an external device; and at least one memory storing one or more instructions; and at least one processor configured to execute the one or more instructions, wherein the one or more instructions, when executed by the at least one processor, cause the display device to: display an image on the display based on image information received through the communication circuitry, identify, in the image, one or more feature points of a patient and an omega shape of the patient, identify, based on the one or more feature points and the omega shape, whether the image may include a predetermined detection area associated with biometric information of the patient, and based on identifying that the image may include the predetermined detection area, adjust a display parameter of at least one of the display or the image.