Face Mask Detection and Identification with Neural Networks

Face Mask Detection and Identification with Neural Networks respond to the contemporary need for health safety measures in public spaces. Leveraging neural networks, the system detects the presence of face masks on individuals and identifies those adhering to safety protocols. This project holds practical applications in public health, security surveillance, and compliance monitoring, providing an automated and efficient solution for ensuring mask usage in various environments.

Software Requirements :-

1. Operating System: Win 7 or more

2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3

2. Hard disk-5GB

3. Memory-2GB RAM