Facial Recognition Dashboard

Overview

This product is a portfolio style dashboard that showcases facial detection and recognition using deep learning technology. It provides a user interface for interacting with the backend and utilizes pre-trained models such as MTCNN for face detection and VGG Face for facial feature extraction. The dashboard allows users to upload query images, which are then processed for face detection and feature extraction. The similarity between the labeled faces and the query faces is calculated using the cosine distance metric, and the best match is displayed with a bounding box and name.

Features

• User-friendly dashboard for face detection and recognition
• Pre-trained MTCNN model for face detection
• Pre-trained VGG Face model for facial feature extraction
• Query image processing for face detection and feature extraction
• Similarity calculation using cosine distance metric
• Display of best match with bounding box and name

Summary

The facial recognition dashboard is a portfolio project that demonstrates the use of deep learning models for face detection and recognition. It provides a user-friendly interface for interacting with the backend and showcases the capabilities of pre-trained models like MTCNN and VGG Face. With easy installation and usage instructions, this project can be easily modified for different purposes.