Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Description This project implements real-time object detection using the Ultralytics YOLO model. It includes a script for performing detection on live camera feeds or video files, saving the annotated ...
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China With the growing demand for marine surveillance and resource management, accurate ...
Rapid7, Inc. has launched a new service called Managed Detection & Response (MDR) for Enterprise, aimed at enhancing threat detection and response for complex enterprise environments that operate ...
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a Google Coral Accelerator ...
Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. However, traditional underwater object detection methods struggle to ...
Abstract: Automated grading and processing of fruits is a complex task which requires the creation of effective fruit vision detection systems. This paper presents an introduction of Fruit detection ...
Abstract: Computer vision technology has gained popularity and been widely applied across various fields. Object detection algorithms are pivotal in these applications. Traditional algorithms have ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback