I was unable to hear my doorbell in my room and used to get a lot of scoldings for it lol. So i came up with a solution: The plan is to run this locally on a old unusable smartphone as a door cam to play a bell sound on a remote speaker whenever the camera detects an human.
This Python application utilizes OpenCV's pre-trained Haar Cascade Classifier to perform real-time face detection. It captures video from your webcam, detects faces, and highlights them with bounding boxes and play a bell sound. The script was ran locally on termux on an android phone.
The script uses OpenCV's CascadeClassifier with the haarcascade_frontalface_default.xml model to identify faces in each frame of the webcam feed. Detected faces are outlined with rectangles, and the application continues to run until manually closed.
It is ran on a old redmi mobile locally using to termux and used as a doorcam.
opencv-python– for computer vision tasksopencv-python-headless– for headless environments (optional)
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Clone the repository:
git clone https://github.com/ahhyoushh/opencv-facedetection-python.git cd opencv-facedetection-python