Our project is able to detect the objects whether it be the image, video or real time camera access. Fast and accurate object detection being our main focus, we were able to achieve it …

YOLOv3 (You Only Look Once, Version 3) is a real-time object detection algorithm that identifies specific objects in videos, live feeds, or images. YOLO uses features learned by a deep …

Apr 15, 2025 · Real-time object detection and tracking, especially on edge devices, require significant computational resources. Optimizing models for performance through techniques …

Jun 26, 2023 · Object detection is a computer vision technique software engineering applied to identify and locate objects within an image or video. Specifically, object detection draws …

The use case, presented in Fig. 1, addresses live object detection on Full HD video streams. As we target cloud native deployment and follow the serverless approach, we have stateless...

Many studies have attempted to provide better solutions but more research and better approaches are essential. This study presents a real-time framework for object detection and …

This repository is an extensive open-source project showcasing the seamless integration of object detection and tracking using YOLOv8 (object detection algorithm), along with Streamlit (a …

In this suggested study, a light-weight network model called MobileNet is adopted, which uses depth-wise separable convolution. The usage of MobileNet in conjunction with the SSD model …

we suggest a system that, by adaptively regulating the cycle of object detection and tracking, can provide real-time performance in different edge computing contexts. Keywords: Object, …

Apr 26, 2023 · In this paper, we propose a system that uses deep learning and OpenCV to detect and track objects in real-time [1]. The methodology proposed is a real-time object detection …