Face Detection with Neural Networks represents a foundational technology in computer vision, enabling accurate and efficient identification of human faces in images or video streams. This application utilizes advanced neural network architectures to detect faces in diverse environments and under varying conditions. The model’s training involves extensive datasets, ensuring robust performance in scenarios ranging from security surveillance to photography applications. This project serves as a fundamental building block for numerous facial recognition and analysis applications across different domains.
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