Results 41 to 50 of about 10,507 (209)
A Simple Vehicle Counting System Using Deep Learning with YOLOv3 Model
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Deep Learning is a popular Machine Learning algorithm that is widely used in many areas in current daily life. Its robust performance and ready-to-use frameworks and architectures enables many people to develop various Deep Learning-based software or ...
Muhammad Fachrie
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Real-Time Face Mask Detection Method Based on YOLOv3
Electronics, 2021 The rapid outbreak of COVID-19 has caused serious harm and infected tens of millions of people worldwide. Since there is no specific treatment, wearing masks has become an effective method to prevent the transmission of COVID-19 and is required in most ...
Xinbei Jiang +3 more
semanticscholar +1 more source
An improved YOLOv3-tiny method for fire detection in the construction industry [PDF]
E3S Web of Conferences, 2021 To prevent fire accidents on construction site and improve the accuracy of fire detection, an improved YOLOv3-tiny method (I-YOLOv3-tiny) is proposed in this paper.
Li Jichao +4 more
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Human Detection and Action Recognition for Search and Rescue in Disasters Using YOLOv3 Algorithm
Journal of Electrical and Computer Engineering, 2023 Drone examination has been overall quickly embraced by NDMM (natural disaster mitigation and management) division to survey the state of impacted regions. Manual video analysis by human observers takes time and is subject to mistakes.
B. Valarmathi +6 more
semanticscholar +1 more source
YOLOv3 with Spatial Pyramid Pooling for Object Detection with Unmanned Aerial Vehicles [PDF]
arXiv.org, 2023 Object detection with Unmanned Aerial Vehicles (UAVs) has attracted much attention in the research field of computer vision. However, not easy to accurately detect objects with data obtained from UAVs, which capture images from very high altitudes ...
Wahyu Pebrianto +4 more
semanticscholar +1 more source
Traffic Light Detection and Recognition Based on Improved Lightweight YOLOv3
Nantong Daxue xuebao. Ziran kexue ban, 2021 The detection and recognition technology of traffic lights can improve the safety of driverless cars and reduce the occurrence of traffic accidents. In order to improve the accuracy and speed of traffic light detection and recognition in the vehicle, an ...
SHAO Yeqin +5 more
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An Improved Method Based on Deep Learning for Insulator Fault Detection in Diverse Aerial Images
Energies, 2021 Insulators play a significant role in high-voltage transmission lines, and detecting insulator faults timely and accurately is important for the safe and stable operation of power grids.
Jingjing Liu +4 more
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Design and Implementation of Accelerator for Lightweight Neural Network [PDF]
Jisuanji gongcheng, 2021 This paper designs a network accelerator based on the Field Programmable Gate Array(FPGA) platform for the lightweight convolutional network represented by MobileNet.By optimizing DW and PW lightweight modules and implementing commonly used convolution ...
HUANG Rui, JIN Guanghao, LI Lei, JIANG Wenchao, SONG Qingzeng
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Detection Method of High Beam in Night Driving Vehicle [PDF]
Jisuanji kexue, 2021 Managing the illegal use of high beams can reduce the occurrence of night traffic accidents.However,at present,there is no efficient detection method for high beam of night,and relevant traffic regulations cannot be effectively implemented.In order to ...
GONG Hang, LIU Pei-shun
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IEEE transactions on intelligent transportation systems (Print), 2022 Aiming at the shortcomings of the current YOLOv3 model, such as large size, slow response speed, and difficulty in deploying to real devices, this paper reconstructs the target detection model YOLOv3, and proposes a new lightweight target detection ...
He Xu +4 more
semanticscholar +1 more source