Object recognition is a vital area of artificial intelligence and computer vision that focuses on enabling machines to identify and classify objects within images or videos, similar to human visual perception. This research aims to explore advanced deep learning models, such as convolutional neural networks (CNNs), to improve the accuracy and efficiency of object detection and classification. The study will analyze various datasets and algorithms to determine the most effective approach for real-world applications, such as autonomous driving, medical imaging, and security systems. By enhancing object recognition capabilities, the research seeks to contribute to the development of smarter, more reliable visual systems that can assist in automation and decision-making across diverse fields.