Smart Attendance System using OpenCV Python | Python Tutorial in Tamil Part - 2
Are you a beginner looking to build a real-world AI project? In this video, we start building a Face Attendance System in Python from scratch! This is Part 1 of our series where we cover the fundamentals of Face Recognition Python and OpenCV.
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Watch Part 1 Here:
👉Smart Attendance System using OpenCV Python | Python Tutorial in Tamil Part - 1
• Smart Attendance System using OpenCV Pytho...
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⏱️ VIDEO CHAPTERS :
[[00:21] - Recap of Part 1: Loading images, encoding, and creating the CSV file.
[01:16] - Setting up the while loop and capturing video frames using webcam.read().
[02:30] - Implementing error handling to check if the camera is working correctly.
[03:11] - Performance Optimization: Reducing frame size (Resizing) to speed up detection.
[05:32] - Color Conversion: Converting video frames from BGR to RGB format for the face_recognition library.
[07:21] - Initializing lists for face locations, encodings, and names.
[08:44] - Detecting face locations and generating encodings for the live video feed.
[10:54] - Comparing live face encodings with stored student data using compare_faces.
[12:53] - Calculating "Face Distance" to determine the best match similarity.
[15:44] - Visual Feedback: Drawing rectangles and displaying names on the video screen.
[17:25] - Attendance Logic: Marking attendance in the CSV file and preventing duplicate entries.
[19:05] - Adding Timestamps: Recording the exact time of arrival using the datetime library.
[20:35] - Displaying the final result window and adding a 'quit' option (pressing 'q').
[21:49] - Cleanup: Releasing the webcam and destroying windows to prevent system hangs.
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