Motion Detection and Multiple Faces Identification using Webcam

Motion Detection and Multiple Faces Identification using Webcam

Varad Kalkhaire1, Shubham Dhanne2, Ashutosh Khatavkar3, Shantanu Bhumkar4

Prof. R. V. Agawane (BE, ME)5

1-4 Student, Department of Computer Engineering, KJCOEMR, Pune

5Professor, Computer Department, KJCOEMR, Pune

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Abstract – As technology is marking the highest peak, all things are being automated using Machine Learning and Deep Learning. By using Machine Learning models, we can detect the movements, actions, multiple faces, their recognition and many more in snap of time. Just like that, this project is implemented using Machine Learning models, like OpenCV for detecting motions of an object and Face Recognition for multiple faces recognition to provide the advanced security. In this paper, we are going to see the project named as “Motion Detection and Multiple Face Identification using Webcam” were detection of motion and multiple faces will be done with the help of a system Webcam or Security Cameras. This is implemented using Python’s OpenCV a Computer Vision module and Cascade Classifier. This research paper will guide, how this machine learning project helps to detect and verify the motion and faces of people more efficiently and provide advanced security to an organization or to a home.

Key Words- Machine Learning (ML), Artificial Intelligence (AI), MYSQL, Haar-Cascade Classifier, Gaussian-Blur, Face Recognition, MySQL Database.