This project demonstrates a basic motion detection system using OpenCV and Python. It captures video from a camera, processes the frames to detect moving objects, and highlights detected motion areas in real-time. 🚀
- 📹 Capture video feed from the webcam.
- 🎨 Convert frames to grayscale and apply Gaussian blur for noise reduction.
- 🔍 Detect motion by comparing the current frame with the first frame.
- 🔲 Highlight moving objects with bounding rectangles.
- 📝 Display status text indicating whether motion is detected.
- ❌ Press
qto quit the application.
- Python 3.x 🐍
- OpenCV (
cv2) 🖼️ - Imutils 🔧
- Time module (standard Python library) ⏰
Install required libraries using pip:
pip install opencv-python imutilsRun the script to start the motion detection:
python motion_detection.py⚙️ How It Works
🥇 The first frame is captured and used as a reference.
🖤 Each new frame is converted to grayscale and blurred.
➖ The absolute difference between the current frame and the reference frame is calculated.
⚫ Thresholding and dilation are applied to highlight differences.
🔎 Contours are detected in the thresholded image.
✅ If contours exceed a minimum area, bounding boxes are drawn, and motion is detected.
📺 The video feed with detected motion highlighted is displayed.