Personalized Ad System Using Facial Feature Detection

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Solution Overview

Problem

Current systems lack the capability to create personalized advertisements by automatically analyzing and simulating cosmetic treatments or product usage on user-uploaded photographs, failing to effectively recommend products based on detected facial features.

Innovation Solution

A method that involves facial feature detection, image processing, and simulation of cosmetic effects on user-uploaded photos, allowing users to visualize product usage and receive personalized recommendations based on detected facial features and skin characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If automated facial feature detection and image processing is implemented to create personalized advertisements, then user engagement and purchase encouragement are improved, but system complexity and processing requirements increase

Engineering Contradiction:

Improveuser engagementVSAvoidsystem complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically detects facial features, determines skin characteristics, and generates personalized advertisements without requiring manual user input beyond photo upload. The automated processing includes face detection, feature extraction, skin type classification, and image manipulation all performed by the system itself

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual analysis of facial features and creation of personalized advertisements is replaced with automated computer vision algorithms and image processing techniques. The system uses digital image analysis to detect facial landmarks, determine skin characteristics, and apply appropriate cosmetic simulations

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If multiple image processing sequences are applied to simulate cosmetic effects, then product visualization accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:

Improveproduct visualization accuracyVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs face detection and facial feature localization before applying cosmetic simulations. Skin characteristics are determined in advance to guide the selection and parameters of image processing sequences, ensuring accurate and efficient processing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Different image processing sequences are applied to different regions of the face based on detected facial features and determined skin characteristics. Each region receives customized processing appropriate to its specific characteristics, improving overall visualization accuracy

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS9275400B2Method and system for simulated product evaluation via personalizing advertisements based on portrait images

Publication Date: 2016.03.01 LOREAL SA

AI summary

Advertising method and system for creating a personalized advertisement, and for recommending a product being advertised. An uploaded facial photograph is received, the facial photograph including a plurality of facial features. At least one facial feature of the plurality of facial features is detected. Personal information may be extracted by analyzing the at least one detected facial feature. A product being advertised may be recommended, wherein the recommended product applies to a treatment related to the extracted personal information.