SODA: A large-scale open site object detection dataset for deep learning in construction
Comprehensive image datasets can benefit the construction industry in terms of serving as
the basis for generating deep-learning-based object detection models and testing the …
the basis for generating deep-learning-based object detection models and testing the …
[HTML][HTML] Development of YOLOv5-based real-time smart monitoring system for increasing lab safety awareness in educational institutions
The term “smart lab” refers to a system that provides a novel and flexible approach to
automating and connecting current laboratory processes. In education, laboratory safety is …
automating and connecting current laboratory processes. In education, laboratory safety is …
Enhanced safety implementation in 5S+ 1 via object detection algorithms
Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …
Using context-guided data augmentation, lightweight CNN, and proximity detection techniques to improve site safety monitoring under occlusion conditions
Automated recognition of image patterns in surveillance cameras is beneficial for safety
monitoring. A representative application is visual proximity detection for accident prevention …
monitoring. A representative application is visual proximity detection for accident prevention …
[HTML][HTML] Automatic rice disease detection and assistance framework using deep learning and a Chatbot
Agriculture not only supplies food but is also a source of income for a vast population of the
world. Paddy plants usually produce a brown-coloured husk on the top and their seed, after …
world. Paddy plants usually produce a brown-coloured husk on the top and their seed, after …
Deep learning-based object detection for dynamic construction site management
Deep learning-based object detection (DLOD) methods are crucial in assisting dynamic
construction site management (DCSM) but have not been systematically studied. This paper …
construction site management (DCSM) but have not been systematically studied. This paper …
[HTML][HTML] Image recognition of wind turbine blade defects using attention-based MobileNetv1-YOLOv4 and transfer learning
C Zhang, T Yang, J Yang - Sensors, 2022 - mdpi.com
Recently, the machine-vision-based blades surface damage detection technique has
received great attention for its low cost, easy operation, and lack of a need for prior …
received great attention for its low cost, easy operation, and lack of a need for prior …
[HTML][HTML] Real-time detection and location of potted flowers based on a ZED camera and a YOLO V4-tiny deep learning algorithm
J Wang, Z Gao, Y Zhang, J Zhou, J Wu, P Li - Horticulturae, 2021 - mdpi.com
In order to realize the real-time and accurate detection of potted flowers on benches, in this
paper we propose a method based on the ZED 2 stereo camera and the YOLO V4-Tiny …
paper we propose a method based on the ZED 2 stereo camera and the YOLO V4-Tiny …
[HTML][HTML] YOLOFM: an improved fire and smoke object detection algorithm based on YOLOv5n
X Geng, Y Su, X Cao, H Li, L Liu - Scientific Reports, 2024 - nature.com
To address the current difficulties in fire detection algorithms, including inadequate feature
extraction, excessive computational complexity, limited deployment on devices with limited …
extraction, excessive computational complexity, limited deployment on devices with limited …
A new benchmark model for the automated detection and classification of a wide range of heavy construction equipment
The integration of computer vision technology into construction sites poses various
challenges due to the complex environment. Prior studies on computer vision related to …
challenges due to the complex environment. Prior studies on computer vision related to …