Face search technology typically supports large-scale group and face recognition. For groups, it can handle thousands to tens of thousands of faces in a single search, depending on the system's capabilities and optimization. For individual faces, the technology can recognize and match millions of unique faces with high accuracy.
For example, in a large public event or stadium, face search technology can quickly identify and track individuals among the crowd, even in real-time. Or in a security monitoring scenario, it can recognize and alert on known faces among a vast number of surveillance videos.
In the context of cloud services, platforms like Tencent Cloud offer robust face recognition APIs that leverage advanced machine learning algorithms to support large-scale face search and recognition tasks efficiently. These services are scalable and can be integrated into various applications to enhance security, improve user experience, or enable new features.