Smart Object Recognition System
A real-time object detection system using MobileNetSSD accurately identifies everyday objects through webcam input, ideal for edge and mobile applications.
Project Information
- Category: Computer Vision and Recognition
- Project Date: 25 February, 2024
Object recognition is a key area in computer vision and image processing that focuses on identifying and locating objects within digital images or video streams. This project specifically applied MobileNet in combination with the Single Shot MultiBox Detector (SSD) to enable real-time object detection through a webcam. MobileNetSSD is a lightweight, efficient model that determines both the bounding box and category of objects in an input image. Designed to perform effectively on mobile and edge devices, it leverages the MobileNet backbone to deliver fast and accurate detection results. The system successfully recognized a variety of everyday objects such as humans, cars, bags, buildings, keyboards, and more, as visualized through labeled bounding boxes in various scenes. Applications of this technology span across image retrieval, video surveillance, and intelligent monitoring systems.