Face Recognition Alert System

Abstract

The Face Recognition Alert System is an advanced 
security solution that leverages cutting-edge 
machine learning and computer vision techniques to 
identify individuals based on their facial features. 
Designed to enhance security and streamline access 
control, the system automates the recognition 
process, dynamically granting or restricting access 
based on facial match outcomes. Unauthorized 
access attempts trigger multi-layered responses, 
including real-time email and SMS alerts with visual 
evidence, as well as audible notifications for 
immediate attention. By integrating widely used 
libraries like OpenCV and Twilio API, this system 
ensures scalability, usability, and robust 
functionality. It overcomes the limitations of 
traditional security methods by providing real-time 
detection, minimizing human error, and enhancing 
response times, making it ideal for applications 
demanding high security and operational efficiency