Vehicle Recognition is a technology that uses computer vision and machine learning to identify and classify vehicles in images or video feeds. This process involves analyzing visual data to detect features such as the shape, color, and license plates of vehicles. It is commonly used in applications like traffic monitoring, parking management, and law enforcement. The system typically relies on algorithms that have been trained on large datasets of vehicle images. By recognizing patterns and characteristics, Vehicle Recognition can accurately distinguish between different types of vehicles, such as cars, trucks, and motorcycles, enhancing safety and efficiency in various environments.