Video Selfie Recognition
Description:
An advanced machine learning repository dedicated to accurately identifying and verifying individuals through video selfies. Harnessing the power of deep learning models, this repo ensures real-time, secure, and efficient facial recognition from video streams. Dive in to explore the code, models, and demos!
Use Cases:
- Authentication: Enhance app or system security by using video selfie recognition as a two-factor authentication method.
- Access Control: Use in secure facilities or systems to grant or deny access based on video selfie verification.
- Personalized User Experience: Recognize returning users and tailor the user interface or content based on their preferences.
- Attendance Systems: Automatically mark attendance in institutions or organizations using video streams.
- Anti-Fraud Systems: Prevent identity theft in online examinations or interviews.
Example Code (C++):
#include "videoSelfieRecognition.h" // Assuming the main header file for the repo
int main() {
VideoSelfieRecognizer recognizer;
recognizer.loadModel("path_to_pretrained_model");
cv::VideoCapture cap(0); // Open the default camera
if(!cap.isOpened()) {
std::cerr << "Error: Couldn't open the camera." << std::endl;
return -1;
}
while(true) {
cv::Mat frame;
cap >> frame; // Capture frame-by-frame
if(frame.empty()) break;
std::string identity = recognizer.recognize(frame);
if(!identity.empty()) {
std::cout << "Recognized as: " << identity << std::endl;
}
cv::imshow("Video Selfie Recognition", frame);
if(cv::waitKey(10) == 27) break; // Press 'Esc' to exit
}
cap.release();
cv::destroyAllWindows();
return 0;
}