Object Detection Using AI (Mobile Application)

Object detection is a fundamental task in computer vision that involves identifying and locating objects within images or video streams. With the advancement of Artificial Intelligence (AI) and Deep Learning, object detection systems have achieved high accuracy and real-time performance. This paper presents an AI-based Object Detection System that uses deep learning algorithms to detect and classify objects in real time. The proposed system utilizes Convolutional Neural Networks (CNN) and pre-trained models such as YOLO (You Only Look Once) and SSD (Single Shot Detector) to recognize objects efficiently. The system processes input images or live camera feeds, detects multiple objects, and provides bounding boxes along with labels and confidence scores. The system can be implemented in various applications such as surveillance, autonomous vehicles, healthcare, and mobile applications. Experimental results demonstrate that the proposed system provides fast and accurate object detection, making it suitable for real-time applications.