A review on various methodologies used for vehicle classification, helmet detection and number plate recognition

S Sanjana, S Sanjana, VR Shriya, G Vaishnavi… - Evolutionary …, 2021 - Springer
Vehicle detection and classification has been an area of application of image processing
and machine learning which is being researched extensively in accordance with its …

Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset

J Wu, N Cai, W Chen, H Wang, G Wang - Automation in construction, 2019 - Elsevier
Hardhats play an essential role in protecting construction individuals from accidents.
However, wearing hardhats is not strictly enforced among workers due to all kinds of …

A blockchain-based edge collaborative detection scheme for construction internet of things

F **ong, C Xu, W Ren, R Zheng, P Gong… - Automation in …, 2022 - Elsevier
For smart construction, it is increasingly necessary to develop innovative methods to
automatically detect whether construction workers are wearing safety helmets or not. With …

[PDF][PDF] Construction 4.0: what we know and where we are headed?

A Karmakar, VSK Delhi - Journal of Information Technology in Construction, 2021 - itcon.org
The last decade has witnessed unprecedented changes in the technologies and processes
involved in the construction industry. The philosophies associated with Industry 4.0 now …

Toward efficient safety helmet detection based on YoloV5 with hierarchical positive sample selection and box density filtering

Z Li, W **e, L Zhang, S Lu, L **e, H Su… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Object detectors based on convolutional neural networks (CNNs) have been widely
deployed in industrial production for safety detection to guarantee the security of workers …

Detection and tracking of safety helmet based on DeepSort and YOLOv5

H Song, X Zhang, J Song, J Zhao - Multimedia Tools and Applications, 2023 - Springer
Safety helmets can effectively prevent accidental head injuries to construction personnel.
Helmet wearing detection is of great significance to the safety management of the …

Automated helmet detection for multiple motorcycle riders using CNN

M Dasgupta, O Bandyopadhyay… - 2019 IEEE Conference …, 2019 - ieeexplore.ieee.org
Automated detection of traffic rule violators is an essential component of any smart traffic
system. In a country like India with high density of population in all big cities, motorcycle is …

Personal protective equipment detection using YOLOv8 architecture on object detection benchmark datasets: a comparative study

A Barlybayev, N Amangeldy, B Kurmetbek… - Cogent …, 2024 - Taylor & Francis
Over the past decade, global industrial and construction growth has underscored the
importance of safety. Yet, accidents continue, often with dire outcomes, despite numerous …

[HTML][HTML] Automatic detection of construction workers' helmet wear based on lightweight deep learning

H Liang, S Seo - Applied Sciences, 2022 - mdpi.com
Featured Application The proposed approach has the advantage of low running cost, high
accuracy, and real-time applicability to real-world environments. This work provides new …

[HTML][HTML] A real-time safety helmet wearing detection approach based on CSYOLOv3

H Wang, Z Hu, Y Guo, Z Yang, F Zhou, P Xu - Applied Sciences, 2020 - mdpi.com
In the practical scenario of construction sites with extremely complicated working
environment and numerous personnel, it is challenging to detect safety helmet wearing …