Facial Makeup Detection With Voice Prompts for Vision-Impaired Users
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Solution Overview
Problem
Vision-impaired individuals face challenges in accurately assessing their makeup effects without manual prompts, leading to potentially abnormal results.
Innovation Solution
An information prompt method and apparatus that utilizes facial image processing to detect makeup effects on target facial parts, generating prompt information based on makeup detection results, which can be voiced for understanding by vision-impaired users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated makeup detection is implemented, then vision-impaired persons can independently assess their makeup effects, but the device complexity increases due to image processing requirements
Solution Approach 1:
The system enables vision-impaired persons to independently perform makeup assessment without requiring manual prompting or assistance. The automated detection system captures facial images, processes them through image analysis algorithms, and provides feedback about makeup effects, allowing users to self-evaluate their makeup application accuracy.
Solution Approach 2:
The patent replaces manual visual inspection with an automated image processing system. Instead of relying on human vision and manual assessment, the system uses computer vision technology, image recognition algorithms, and automated analysis to detect makeup effects, thereby substituting mechanical human assessment with an automated technical system.
2Measurement precision
If detailed makeup detection is performed, then makeup assessment accuracy improves, but the processing time increases
Solution Approach 1:
The image processing system divides the facial image into multiple regions corresponding to different makeup areas (eyes, eyebrows, lips, cheeks). Each region is processed independently with specialized detection algorithms, allowing parallel processing that maintains high accuracy while reducing overall processing time compared to analyzing the entire face as a single unit.
Solution Approach 2:
The system focuses detection efforts on specific makeup regions rather than performing exhaustive analysis of the entire facial image. By concentrating processing resources on areas where makeup is applied (target regions identified through facial landmark detection), the system achieves high detection accuracy for makeup effects while avoiding unnecessary processing of non-makeup areas.
Data Source
AI summary
Provided in the present disclosure are an information prompt method and apparatus, and a computer device and a storage medium. The method comprises: obtaining a to-be-detected image; parsing the to-be-detected image to generate a mask image; detecting a makeup effect of a target part in the to-be-detected image based on the mask image and the to-be-detected image to obtain a makeup detection result of the target part; and generating prompt information based on the makeup detection result of the target part, and playing the prompt information.


