Object recognition is a computer vision technology that enables machines to identify and classify objects within images or videos. This process involves analyzing visual data to detect specific features, such as shapes, colors, and textures, allowing the system to distinguish between different items, like cars, animals, or furniture. The technology relies on algorithms and machine learning models, which are trained on large datasets containing labeled images. As a result, object recognition systems can improve their accuracy over time, making them useful in various applications, including autonomous vehicles, security surveillance, and augmented reality.