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Design of Facial Recognition System Based on Visual Communication Effect
1Culture and Art Management of Hunan University, Korea, Guangzhou City 62399, Republic of Korea.
Computational Intelligence and Neuroscience
|December 20, 2021
Summary
This study presents a reliable facial recognition system using OpenCV for testers. The system effectively performs face detection and image matching for real-time applications.
Area of Science:
- Computer Science
- Artificial Intelligence
- Image Processing
Background:
- Facial recognition technology is a rapidly advancing field with significant research interest.
- Visual communication principles underpin current advancements in facial recognition.
Purpose of the Study:
- To summarize the research status of facial recognition and related technologies.
- To develop a functional facial recognition system utilizing the OpenCV library.
Main Methods:
- System architecture design and hardware setup.
- Implementation of face detection and image matching algorithms using OpenCV.
- Integration into a complete facial recognition system.
Main Results:
- The developed system successfully performs image capture and online recognition.
- Experimental results confirm reliable, stable, and fast face detection and recognition for testers.
- The OpenCV-based system demonstrates effective facial recognition capabilities.
Conclusions:
- The implemented OpenCV-based facial recognition system is effective for tester applications.
- The system provides a reliable, stable, and rapid solution for face detection and recognition.
- This research contributes to the practical application of facial recognition technology.
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