🔍 Facial recognition is becoming increasingly popular, with China already using it to detect and track citizens.
đź’» This video presents a way to implement facial recognition using Python and OpenCV, allowing users to create their own monitoring system.
đź‘Ą The code demonstrated in the video can detect certain faces, like Zuckerberg, but not others, like Elon Musk.
🎯 The video demonstrates how to create a facial recognition system using Python and OpenCV.
🔎 The script utilizes libraries such as CV2, Dlib, Pillow, and Numpy for various functions like image processing and face recognition.
đź“· Pre-trained models are used in the script, and specific .dat files need to be downloaded for the system to work.
📸 By using OpenCV and Python, we can create a facial recognition model with just an image.
đź’ˇ Face detection is done using Dlib, which returns a list of coordinates of the faces in the image.
🔑 The Compute Face Descriptor function is crucial as it calculates a 128-dimensional vector that describes the face.
✨ Using Opencv and Python, we can create a system for facial recognition.
🔍 The process involves transforming the coordinates of the image and checking the accuracy of the face rectangle.
🧩 The key function in facial recognition is the calculation of facial encodings for each face.
đź‘Ą The recognition function calculates the similarity between a detected face and known faces.
🔢 A tolerance threshold of 0.6 is used to determine if two faces are the same.
đź’ˇ The system retrieves the name of the closest known face and displays relevant information on the face.
đź“· You can use OpenCV and Python to create a facial recognition system.
đź‘Ą The system can detect multiple faces, including those of famous people like Zuckerberg.
👨‍👩‍👧‍👦 You can have fun with facial recognition by using pictures of your family.
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