Results 21 to 30 of about 10,507 (209)
Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment
Multimedia tools and applications, 2021 There are many solutions to prevent the spread of the COVID-19 virus and one of the most effective solutions is wearing a face mask. Almost everyone is wearing face masks at all times in public places during the coronavirus pandemic.
Sunil K. Singh +4 more
semanticscholar +1 more source
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving [PDF]
IEEE International Conference on Computer Vision, 2019 The use of object detection algorithms is becoming increasingly important in autonomous vehicles, and object detection at high accuracy and a fast inference speed is essential for safe autonomous driving.
Jiwoong Choi +3 more
semanticscholar +1 more source
Research on driverless vehicle vision algorithm [PDF]
MATEC Web of Conferences, 2021 Obstacle detection in complex urban traffic environment has become an important part of unmanned vehicle optimization, and its complexity brings great challenges to the reliability of unmanned target detection.
Liu Xinchao, Yan Ying, Gan Haiyun
doaj +1 more source
YOLO-Tomato: A Robust Algorithm for Tomato Detection Based on YOLOv3
Italian National Conference on Sensors, 2020 Automatic fruit detection is a very important benefit of harvesting robots. However, complicated environment conditions, such as illumination variation, branch, and leaf occlusion as well as tomato overlap, have made fruit detection very challenging.
Guoxu Liu +3 more
semanticscholar +1 more source
Signal, Image and Video Processing, 2023 To better meet the communication needs of hearing impaired people and the public, it is of great significance to recognize sign language more quickly and accurately on embedded platforms and mobile terminals.
Shiniu Sun +7 more
semanticscholar +1 more source
Detection and tracking of mask wearing based on deep learning
Dianzi Jishu Yingyong, 2022 Wearing a mask can effectively prevent the spread of the virus. In order to reduce the consumption of a large number of human resources in manual inspection of mask wearing, this paper proposes a method of mask wearing detection and tracking based on ...
Wang Lin, Nan Gaigai
doaj +1 more source
Journal of Machine and Computing, 2023 Detecting foreground objects in video is crucial in various machine vision applications and computerized video surveillance technologies. Object tracking and detection are essential in object identification, surveillance, and navigation approaches ...
Mohandoss T, Rangaraj J
semanticscholar +1 more source
Correg-Yolov3:a Method for Dense Buildings Detection in High-resolution Remote Sensing Images [PDF]
Journal of Geodesy and Geoinformation Science, 2023 The exploration of building detection plays an important role in urban planning, smart city and military. Aiming at the problem of high overlapping ratio of detection frames for dense building detection in high resolution remote sensing images, we ...
Zhanlong CHEN, Shuangjiang LI, Yongyang XU, Daozhu XU, Chao MA, Junli ZHAO
doaj +1 more source
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle [PDF]
Renewable Energy, 2021 As solar capacity installed worldwide continues to grow, there is an increasing awareness that advanced inspection systems are becoming of utmost importance to schedule smart interventions and minimize downtime likelihood. In this work we propose a novel
Antonio Di Tommaso +3 more
semanticscholar +1 more source
Insulator fault feature extraction system of substation equipment based on machine vision
IET Networks, EarlyView., 2022 Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source