This project utilizes OpenCV to DevelopLane departure Warning System and Augmented Reality warning. Initially, it extracts three common road colors (red, yellow, white) using OpenCV's HSV range setting. After optimizing the image through morphological operations to enhance edge contours, it draws a Region of Interest (ROI) to reduce false positives. Subsequently, Hough Transform is employed to recognize and draw road lines. The project evaluates whether the centroid of the contours exceeds a predefined safety threshold. If it does, the system triggers a warning by cropping a PNG format image and displaying it prominently in a fixed location.
OpenCV OpenCV, or Open Source Computer Vision Library, is an open-source computer vision and machine learning software library. It provides a comprehensive set of tools and functions designed to facilitate real-time computer vision applications. OpenCV is widely used in various domains, including image and video processing, object detection and recognition, machine learning, and robotics.
| Detect a red line. | Detect a yellow line. | Detect a white line. |
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