Detection Result Output via Image Matching and Selective Skin Detection
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Solution Overview
Problem
Existing electronic devices face reduced output speed and poor user experience due to performing skin detection on multiple images from different angles, resulting in similar detection results despite varying shooting angles.
Innovation Solution
The electronic device determines the matching degree between images and outputs a detection result based on preset conditions, either directly using a stored result if the matching is high or performing detection if the matching is low, thereby optimizing output speed and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If skin detection is performed on each collected image from different angles, then detection accuracy is maintained, but output speed of detection result is reduced
Solution Approach 1:
The system performs image matching comparison before executing skin detection, and caches detection results for frequently occurring users. This preliminary action determines whether full detection is necessary, avoiding redundant processing while maintaining accuracy when needed.
Solution Approach 2:
The system uses cached detection results from target images as substitutes for performing detection on new first images when matching degree is sufficient. This copying approach maintains detection accuracy while dramatically reducing processing time for repeated users.
2Measurement precision
If skin detection is performed on each collected image, then detection result accuracy is maintained, but user experience deteriorates due to slow output
Solution Approach 1:
The system performs image matching and result caching before detection execution, preparing decision criteria in advance. This allows rapid determination of whether to use cached results or perform new detection, improving user experience without sacrificing accuracy.
Solution Approach 2:
The system copies and reuses detection results from target images when matching degree meets the first preset condition. This provides accurate results quickly for returning users, significantly improving user experience while maintaining detection accuracy.
3Productivity
If image matching comparison is performed before detection, then output speed is improved, but device complexity increases
Solution Approach 1:
The system segments the detection workflow into distinct phases: image matching comparison phase, caching phase, and detection execution phase. This segmentation allows the matching and caching operations to occur independently before detection, improving output speed while managing complexity through modular design.
Solution Approach 2:
The system performs image matching and result caching as preliminary actions before detection execution. This separates the complexity of matching algorithms from the detection process itself, allowing output speed improvement through pre-computation while managing overall system complexity.
Data Source
AI summary
A detection result output method, an electronic device, and a medium are provided. The detection result output method includes: obtaining first image information of a first object, where the first image information includes skin information of the first object; outputting a target detection result in a case that a matching degree between a first image and a target image meets a first preset condition; and outputting a first detection result in a case that the matching degree between the first image and the target image does not meet the first preset condition. The target detection result is a detection result corresponding to the target image, and the first detection result is a detection result corresponding to the first image.