Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach

QR Code

Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach

© 2018 Elsevier Ltd Detecting the presence of workers, plant, equipment, and materials (i.e. objects) on sites to improve safety and productivity has formed an integral part of computer vision-based research in construction. Such research has tended to focus on the use of computer vision and pattern...

Full description

Bibliographic Details
Main Authors:	Fang, W., Ding, L., Zhong, B., Love, Peter, Luo, H.
Format:	Journal Article
Published:	Pergamon Press 2018
Online Access:	http://hdl.handle.net/20.500.11937/69099

Similar Items

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
by: Ding, L., et al.
Published: (2018)

Convolutional neural networks: Computer vision-based workforce activity assessment in construction
by: Luo, H., et al.
Published: (2018)

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network
by: Fang, W., et al.
Published: (2019)

Construction Site Workers’ Awareness on Using Safety Equipment : Case Study
by: Md Ulang, N., et al.
Published: (2014)

Predicting movements of onsite workers and mobile equipment for enhancing construction site safety
by: Zhu, Zhenhua, et al.
Published: (2016)

Image Splicing Detection With Constrained Convolutional Neural Network
by: Lee, Yang Yang
Published: (2019)

Effectiveness of Personal Protective Equipment (PPE) at Construction Site
by: Mohd Amir Shazwan, Hashim, et al.
Published: (2018)

Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
by: Md Hasim, Siti Mastura
Published: (2017)

Object detection utilizing modified auto encoder and convolutional neural networks
by: Khiarak, Jalil Nourmohammadi, et al.
Published: (2018)

Face detection based on Haar cascade and Convolution Neural Network (CNN)
by: Mohd Ariffin, Noor Afiza, et al.
Published: (2025)

Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
by: Hasim, Siti Mastura Binti Md
Published: (2017)

An ontological approach for technical plan definition and verification in construction
by: Zhong, B., et al.
Published: (2015)

Detection of proliferative diabetic retinopathy in fundus images using convolution neural network
by: Hasliza, Abu Hassan, et al.
Published: (2020)

Event detection for smart conference room using spatiotemporal convolutional neural network
by: Tan, Yi Jian
Published: (2020)

An Automated Approach to Construction Site Layout Generation.
by: Akanmu, A., et al.
Published: (2014)

Safety Research On Workers At Construction Site
by: Paul Teh, Ou Yang
Published: (2005)

Convolutional Neural Network Model for Bone Fracture Detection and Classification in X-Ray Images
by: M. Fariz Fadillah, Mardianto, et al.
Published: (2024)

Application of a convolutional neural network (CNN) for droplet detection in an aeroengine bearing chamber
by: Farbrother, Katrina
Published: (2023)

Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi
by: Ahmad Tarmizi, Muhammad Danial
Published: (2020)

Lungs cancer nodules detection from CT scan images with convolutional neural networks
by: Muhammad Zubair, Rehman, et al.
Published: (2020)

Enhanced faster region-based convolutional neural network for oil palm tree detection
by: Liu, Xinni
Published: (2021)

Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN)
by: Wan Nur Azhani, Wan Samsudin, et al.
Published: (2022)

Event detection for smart conference room using multi-stream convolutional neural network
by: Khoo, Belinda Pai Lin
Published: (2020)

Lungs cancer nodules detection from ct scan images with convolutional neural networks
by: Zubair Rehman, Muhammad, et al.

Application of target detection method based on convolutional neural network in sustainable outdoor education
by: Yang, Xiaoming, et al.
Published: (2023)

Multi-fish Detection And Tracking Using Track-mask Region Convolutional Neural Network
by: Alshdaifat, Nawaf Farhan Fankur
Published: (2023)

An Evaluation of Convolutional Neural Network (CNN) Model for Copy-Move and Splicing Forgery Detection
by: Muniappan, Thiiban, et al.
Published: (2023)

An Evaluation of Convolutional Neural Network (CNN) Model for Copy-Move and Splicing Forgery Detection
by: Thiiban Muniappan, Thiiban Muniappan, et al.
Published: (2023)

Image-based oil palm leaf disease detection using convolutional neural network
by: Jia, Heng Ong, et al.
Published: (2022)

A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
by: , Abdul Wahid, et al.
Published: (2019)

Malaysia traffic sign recognition with convolutional neural network
by: Lau, M., et al.
Published: (2015)

Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021)

Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)

Calf posture recognition using convolutional neural network
by: Tung, Tan Chen, et al.
Published: (2022)

Falls from heights: A computer vision-based approach for safety harness detection
by: Fang, W., et al.
Published: (2018)

Offline handwritten chinese character using convolutional neural network : State-of-the-art methods
by: Zhong, Yingna, et al.
Published: (2023)

Ofﬂine handwritten Chinese character using convolutional neural network: State-of-the-art methods
by: Zhong, Yingna, et al.
Published: (2023)

Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)

Adequacy of personal fall arrest energy absorbers in relation to heavy workers
by: Goh, Yang Miang, et al.
Published: (2010)

Neural network prognostics Model for Industrial Equipment Maintenance
by: Asmai, Siti Azirah, et al.
Published: (2011)

Cannot write session to /tmp/vufind_sessions/sess_47bchj9rhg1l1uaa6mffgi5v4p