Technologies Used

1 AI and Machine Learning

• Facial Recognition Models: Utilizes state-of-the-art AI models for high accuracy in facial identification and verification.

• Model Training and Optimization: Techniques such as transfer learning, federated learning, and model distillation are employed to enhance model performance and efficiency.

2 Distributed Computing

• Edge Computing: Processes data closer to the source, reducing latency and improving response times.

• Cloud Integration: Provides scalable storage and computational resources for training and maintaining global models.

• Peer-to-Peer Networks: Facilitates direct communication between nodes, enhancing data exchange and processing capabilities.

3 Blockchain Technology

• Smart Contracts: Automates and enforces agreements related to data sharing and model updates.

• Decentralized Ledger: Maintains a tamper-proof record of all transactions and data exchanges within the network.