This project implements real-time object detection using the OpenCV library and the SSD MobileNet model. The system loads an image, detects objects within it, and displays bounding boxes along with ...

Uses SSD MobileNet v3 for real-time object detection. Displays detected objects with confidence scores. Uses OpenCV to process video frames from the webcam. Starts the webcam and captures video. Runs ...

The study introduces a Python-based method for real-time object detection, utilizing deep learning architectures like Convolutional Neural Networks (CNNs) and Single Shot MultiBox Detector (SSD).