About this document
Gender and Age Detection SRS Document by MANSI KAUSHIK is a document available to read on EtoBox.
The document is a software requirements specification for a gender and age detection system created by students at Meerut Institute of Engineering & Technology. The system will use deep learning techniques like convolutional neural networks to perform real-time face detection from camera feeds and classify detected faces by gender and age. It will store classification results in a database and generate visualizations from the data to help analyze customer movement and behaviors. The document outlines the ov
- Author
- MANSI KAUSHIK
- Language
- EN