The face database is typically stored in a secure, scalable storage system that can handle large volumes of data efficiently. This could be a relational database management system (RDBMS) or a NoSQL database, depending on the specific requirements of the face recognition application. The data is usually encrypted to protect privacy and security.
For example, in a cloud-based face recognition system, the face database might be stored in a cloud storage service that offers high durability, availability, and security features. This ensures that the data is always accessible and protected against unauthorized access.
Regarding the second part of your question, whether face recognition needs to be reloaded when it is restarted depends on the architecture of the system. In some cases, the face recognition model and database may be loaded into memory when the system starts up, which means it would need to be reloaded if the system is restarted. However, in other cases, the system might use persistent storage to retain the model and database in memory even after a restart, eliminating the need for reloading.
In the context of cloud computing, services like Tencent Cloud offer scalable and reliable storage solutions, such as Tencent Cloud COS (Cloud Object Storage), which can be used to store large amounts of face data securely. Additionally, Tencent Cloud's AI services provide pre-trained face recognition models that can be integrated into applications, reducing the need for extensive reloading or retraining when the system is restarted.