Key Components

The Facial DNA Network consists of a network of nodes that collaborate to perform facial recognition tasks. Each node in the network can perform data processing, model training, and inference, reducing the load on any single point and ensuring high availability and fault tolerance.

Key Components

• Edge Devices: Capture and pre-process facial data locally to reduce latency and bandwidth usage.

• Central Coordination Hub: Manages task distribution, data synchronization, and maintains a global model repository.

• AI Models: Advanced neural networks optimized for facial recognition tasks, including convolutional neural networks (CNNs) and generative adversarial networks (GANs).

• Blockchain: Ensures data integrity, security, and immutability across the distributed network.