Car Dodge Game

In today’s rapidly advancing technological era, artificial intelligence (AI) and computer vision are playing a vital role in developing intelligent transportation systems. One of the most significant applications of these technologies is obstacle detection, which enhances vehicle safety and enables autonomous navigation. The project titled “Obstacle Detection Car” focuses on designing a smart system that can automatically detect and respond to obstacles in its path using AI-based software techniques. The system utilizes a camera module or pre-recorded video feed to capture real-time images of the surrounding environment. These images are processed using computer vision algorithms such as OpenCV and deep learning models like YOLO or Haar Cascade classifiers to accurately identify obstacles. Based on the detected object’s distance and position, the software generates appropriate control actions—such as stop, slow down, or change direction—mimicking autonomous vehicle decision-making. This project demonstrates the integration of AI, image processing, and automation for creating a low-cost intelligent navigation prototype. It highlights how machine learning techniques can improve road safety, collision avoidance, and robotic mobility. Moreover, it provides a foundation for understanding the working principles behind self-driving cars and smart robotic systems. Overall, the Obstacle Detection Car project showcases the practical use of artificial intelligence in building safer and smarter transportation solutions for the future.