**Past AI facial recognition technology**
In the past, AI facial recognition technology was relatively limited. Early facial recognition systems primarily relied on basic feature extraction and pattern matching algorithms. These systems were easily affected by changes in lighting conditions or angles, and were limited in accuracy and reliability.
Advances in computer vision technology**
Today, however, advances in computer vision technology have led to significant advances in AI facial recognition. Based on deep learning and neural network algorithms, modern facial recognition technology is highly sophisticated and effective. With deep learning, the system can automatically extract and learn features from training data to achieve more accurate results.
**Current AI face recognition technology**
Current AI face recognition technology has high accuracy and stability. It can search large databases in real time to quickly and accurately recognize millions of faces. It also works reliably in a variety of environments and is unaffected by changes in lighting or angle.
**Potential for further development**
In the future, AI facial recognition technology will continue to evolve.