Mobile AR Medical Condition Recognition via Real-Time Video Analysis
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Solution Overview
Problem
Current mobile devices lack effective means to provide users with real-time access to medical condition-related information and product offers associated with recognized medical conditions through augmented reality and vision object recognition.
Innovation Solution
Implementing a method and apparatus that utilize real-time video analysis and augmented reality on mobile devices to identify medical conditions and products within a video stream, matching them to associated data for presenting relevant information and indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time video analysis and augmented reality are implemented on mobile devices to identify medical conditions and present related information, then access to medical condition-related information and product offers is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system segments the complex task of medical condition identification into distinct modules: video capture, object recognition, medical condition classification, information retrieval, and augmented reality display. Each module handles a specific aspect of the process, reducing overall system complexity while maintaining real-time information access capabilities
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges the mobile device camera and the medical information database. This intermediary layer pre-processes video frames, identifies potential medical conditions, and queries the database for relevant information, thereby reducing the computational burden on the mobile device while ensuring accurate information delivery
2Speed
If real-time video analysis is performed to identify medical conditions, then speed of information delivery is improved, but use of energy and processing power increases
Solution Approach 1:
The system employs periodic action by analyzing video frames at optimized intervals rather than continuously processing every frame. The frame rate is adjusted dynamically based on motion detection and scene changes, maintaining real-time information delivery while significantly reducing energy consumption during stable medical condition observation
Solution Approach 2:
The system performs preliminary action by pre-processing video frames to detect motion and changes in the observed scene before full medical condition analysis is initiated. This preliminary detection allows the system to activate intensive processing only when necessary, reducing overall energy consumption while maintaining rapid response capability
3Ease of operation
If augmented reality indicators are superimposed on video stream to show medical information, then ease of operation and information accessibility is improved, but measurement precision and accuracy of medical condition identification may be compromised
Solution Approach 1:
The augmented reality indicators are designed with local quality by positioning them in specific regions of the display that do not overlap with the medical condition being observed. The indicators provide supplementary information about treatment options and product offers while maintaining clear visibility of the actual medical condition in the video stream, thus preserving identification accuracy
Data Source
AI summary
Systems, methods, and computer program products are provided for using real-time video analysis and AR or the like to assist the user of mobile devices with commerce activities. Through the use of real-time vision object recognition medical conditions can be recognized in the real-time video stream and can be matched to medical condition related information regarding the medical condition and can also be matched to one or more targeted offers for products related to the medical condition. The medical condition related information may be presenting to the user of the mobile device in conjunction with display of the associated medical condition in a live video stream. Further, in some embodiments, a product can be recognized as products related to a previously recognized medical condition and indicators associated with the recognized products can be presented with the real-time video stream.