i-Shopping
National Central University
Facial Recognition in Advertising Application - A system that provides personalized product promotions based on customer demographics.
Research Materials
Overview
i-Shopping is a facial recognition system designed for advertising applications. It provides different kinds of product promotions for customers based on their genders and ages.
Technology
SHORE Database
The system utilizes SHORE (Sophisticated High-speed Object Recognition Engine) database for accurate age and gender recognition. SHORE is expert in:
- Real-time image recognition
- Three-dimensional face tracking
- Immediate face analysis
System Capabilities
The system can capture faces and analyze them immediately by:
- Gender: Male/Female classification
- Age: Age range estimation
- Emotion: Emotional state detection
Application
Targeted Advertising
Based on demographic analysis, the system displays personalized advertisements:
- Age-appropriate product recommendations
- Gender-specific promotions
- Dynamic content adjustment based on detected audience
Real-time Processing
The system processes video feed in real-time, enabling:
- Instant face detection and analysis
- Dynamic advertisement switching
- Continuous audience analytics
Academic Context
This project was developed as a research project at the Video and Audio Processing Laboratory, Department of Communications Engineering, National Central University.