Falls from heights: A computer vision-based approach for safety harness detection
© 2018 Elsevier B.V. Falls from heights (FFH) are major contributors of injuries and deaths in construction. Yet, despite workers being made aware of the dangers associated with not wearing a safety harness, many forget or purposefully do not wear them when working at heights. To address this proble...
| Main Authors: | Fang, W., Ding, L., Luo, H., Love, Peter |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier BV
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/67470 |
Similar Items
A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network
by: Fang, W., et al.
Published: (2019)
by: Fang, W., et al.
Published: (2019)
Convolutional neural networks: Computer vision-based workforce activity assessment in construction
by: Luo, H., et al.
Published: (2018)
by: Luo, H., et al.
Published: (2018)
Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach
by: Fang, W., et al.
Published: (2018)
by: Fang, W., et al.
Published: (2018)
Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach
by: Zhou, Y., et al.
Published: (2017)
by: Zhou, Y., et al.
Published: (2017)
Investigation on the Causes of Falling From Height and
Fall Protection System at Sabah
by: Sharma, Aldo Thirunavukarasu, et al.
Published: (2022)
by: Sharma, Aldo Thirunavukarasu, et al.
Published: (2022)
Systems thinking in workplace safety and health in construction: Bridging the gap between theory and practice
by: Love, Peter, et al.
Published: (2016)
by: Love, Peter, et al.
Published: (2016)
Plant-disease detection by using computer vision approach
by: Chang, Man Kien
Published: (2023)
by: Chang, Man Kien
Published: (2023)
Fall from standing height, or greater, and mortality among ambulance-transported patients with major trauma from falls
by: Buzzacott, Peter, et al.
Published: (2021)
by: Buzzacott, Peter, et al.
Published: (2021)
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)
by: Ding, L., et al.
Published: (2018)
Evaluation of fall detection classification approaches
by: Kerdegari, Hamideh, et al.
Published: (2012)
by: Kerdegari, Hamideh, et al.
Published: (2012)
A computational approach to harnessing the geological information within zircon grain shape
by: Scharf, Taryn Estelle
Published: (2023)
by: Scharf, Taryn Estelle
Published: (2023)
An ontological approach for technical plan definition and verification in construction
by: Zhong, B., et al.
Published: (2015)
by: Zhong, B., et al.
Published: (2015)
The cause and effect of fall from height accidents and mitigation measures in Peninsular Malaysia
by: Mat Salleh, Mohamad Ariff
Published: (2022)
by: Mat Salleh, Mohamad Ariff
Published: (2022)
Application of computer vision in the detection of chilling injury in bananas
by: Hashim, Norhashila, et al.
Published: (2013)
by: Hashim, Norhashila, et al.
Published: (2013)
Analysis of the contributing factors for fatal accidents due to falls from heights in Malaysia and the USA
by: Zermane, Abderrahim, et al.
Published: (2020)
by: Zermane, Abderrahim, et al.
Published: (2020)
Detecting cow behaviours associated with parturition using computer vision
by: McDonagh, John
Published: (2023)
by: McDonagh, John
Published: (2023)
Action detection system for alerting driver using computer vision
by: Khoo, Chia Hong
Published: (2020)
by: Khoo, Chia Hong
Published: (2020)
A Study of Fall from Height Accidents in High-rise Building Construction Sites in Selangor
by: Lee, Benny Hai Chim, et al.
Published: (2019)
by: Lee, Benny Hai Chim, et al.
Published: (2019)
Computer vision system
by: Kamarul Hawari, Ghazali, et al.
Published: (2016)
by: Kamarul Hawari, Ghazali, et al.
Published: (2016)
The multiplicity of organizing visions
by: Standing, S., et al.
Published: (2017)
by: Standing, S., et al.
Published: (2017)
Expert Systems with Applications
by: Love, Peter, et al.
Published: (2014)
by: Love, Peter, et al.
Published: (2014)
Editorial
by: Love, Peter, et al.
Published: (2014)
by: Love, Peter, et al.
Published: (2014)
Predicting fatal fall from heights accidents using random forest classification machine learning model
by: Zermane, Abderrahim, et al.
Published: (2023)
by: Zermane, Abderrahim, et al.
Published: (2023)
Vision-based Human Presence Detection by Means of Transfer Learning Approach
by: Tang, Jin Cheng, et al.
Published: (2022)
by: Tang, Jin Cheng, et al.
Published: (2022)
A computer vision-based alarming system for
real-time detection of driver sleep
by: Khalifa, Othman Omran, et al.
Published: (2014)
by: Khalifa, Othman Omran, et al.
Published: (2014)
Fall detection systems at night
by: Elagovan, Ramanujam, et al.
Published: (2023)
by: Elagovan, Ramanujam, et al.
Published: (2023)
Harnessing Nature's Gift
by: Sarawak Borneo Post
Published: (2012)
by: Sarawak Borneo Post
Published: (2012)
Full body harness
by: Wan Manan, Wan Majidah, et al.
Published: (2020)
by: Wan Manan, Wan Majidah, et al.
Published: (2020)
Harnessing reinforcement learning in fog-cloud computing: challenges, insights, and future directions
by: Al-Hashimi, Mustafa, et al.
Published: (2024)
by: Al-Hashimi, Mustafa, et al.
Published: (2024)
Development of vehicle detection and counting system for traffic analysis using computer vision
by: Saw, Kenny Wei Wen
Published: (2024)
by: Saw, Kenny Wei Wen
Published: (2024)
Vision-based lane-vehicle detection and tracking
by: Lim, Hann, et al.
Published: (2009)
by: Lim, Hann, et al.
Published: (2009)
A comparison of the burden and resultant risk associated with occupational falls from a height and on the same level in Australia
by: Mangharam, J., et al.
Published: (2016)
by: Mangharam, J., et al.
Published: (2016)
Fear of falling and physical function in older adults with cataract: Exploring the role of vision as a moderator
by: Palagyi, A., et al.
Published: (2016)
by: Palagyi, A., et al.
Published: (2016)
Construction Industry Safety: Fall and Fall Protection issues in the Building and Construction Industry: a Worldwide Issue
by: Nikraz, Ommid, et al.
Published: (2009)
by: Nikraz, Ommid, et al.
Published: (2009)
Adequacy of personal fall arrest energy absorbers in relation to heavy workers
by: Goh, Yang Miang, et al.
Published: (2010)
by: Goh, Yang Miang, et al.
Published: (2010)
Vision-based human presence detection pipeline by means of transfer learning approach
by: Tang, Jin Cheng
Published: (2023)
by: Tang, Jin Cheng
Published: (2023)
Anomaly detection for vision-based inspection
by: Chew, Yan Zhe
Published: (2022)
by: Chew, Yan Zhe
Published: (2022)
Height datum definition, height datum connection and the role of the geodetic boundary value problem.
by: Teunissen, Peter, et al.
Published: (1988)
by: Teunissen, Peter, et al.
Published: (1988)
Relationship Between Safety Measures and Human Error in the Construction Industry: Working at Heights.
by: Bussier, Mathieu Jonathan Pascal, et al.
Published: (2020)
by: Bussier, Mathieu Jonathan Pascal, et al.
Published: (2020)
Cognitive factors influencing safety behavior at height: A multimethod exploratory study
by: Goh, Yang Miang, et al.
Published: (2015)
by: Goh, Yang Miang, et al.
Published: (2015)
Similar Items
-
A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network
by: Fang, W., et al.
Published: (2019) -
Convolutional neural networks: Computer vision-based workforce activity assessment in construction
by: Luo, H., et al.
Published: (2018) -
Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach
by: Fang, W., et al.
Published: (2018) -
Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach
by: Zhou, Y., et al.
Published: (2017) -
Investigation on the Causes of Falling From Height and
Fall Protection System at Sabah
by: Sharma, Aldo Thirunavukarasu, et al.
Published: (2022)