Geohazard Identification in Underground Mines: A Mobile App

Geohazard Identification in Underground Mines: A Mobile App

Mining is a critical industry that provides essential minerals and resources for modern society. Despite its benefits, the industry is also recognized as one of the most dangerous occupations, with geotechnical hazards being a primary concern. This study introduces the hazard recognition in undergro...

Full description

Saved in:

Bibliographic Details
Main Authors:	Pedro Lopez, Nathalie Risso, Angelina Anani, Moe Momayez
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Sensors
Subjects:	vision-based detection deep learning mine safety
Online Access:	https://www.mdpi.com/1424-8220/24/24/8052
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application of Modern Machine Diagnostic Systems to Improve Safety in the Underground Mining Process
by: Trzop Konrad, et al.
Published: (2024-12-01)

Development of targeted safety hazard management plans utilizing multidimensional association rule mining
by: Xingbang Qiang, et al.
Published: (2024-12-01)

FLAC3D Simulation of Caving Mechanism and Strata Fracture Response in Underground Mining
by: Mahdi Saadat, et al.
Published: (2024-10-01)

A synthetic segmentation dataset generator using a 3D modeling framework and raycaster: a mining industry application
by: Wilhelm Johannes Kilian, et al.
Published: (2024-12-01)

Exploring Food Safety Emergency Incidents on Sina Weibo: Using Text Mining and Sentiment Evolution
by: Biao Ma, et al.
Published: (2025-01-01)

Observation and evaluation of surface and underground space changes in well salt mining based on InSAR: a case study of Qingjiang salt mine, Zhangshu, China
by: Hua Gao, et al.
Published: (2025-12-01)

Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11
by: Lei Zhang, et al.
Published: (2024-12-01)

Data Mining Implementations for Determining Root Causes and Precautions of Occupational Accidents in Underground Hard Coal Mining
by: Bilal Altındiş, et al.
Published: (2024-12-01)

Research on Intelligent Monitoring and Protection Equipment of Vital Signs of Underground Personnel in Coal Mines: Review
by: Yuntao Liang, et al.
Published: (2024-12-01)

CSI-based underground personnel behavior identification method
by: Lei ZHANG, et al.
Published: (2020-12-01)

Research on laser target positioning method for underground mobile robot in coal mine
by: Hongwei MA, et al.
Published: (2024-11-01)

An underground coal mine multi-target detection algorithm
by: FAN Shoujun, et al.
Published: (2024-12-01)

Traffic Congestion Scheduling for Underground Mine Ramps Based on an Improved Genetic Scheduling Algorithm
by: Wenkang Miao, et al.
Published: (2024-10-01)

A Novel Deep Learning Method for Detecting Defects in Mobile Phone Screen Surface Based on Machine Vision
by: İsmail Akgül
Published: (2023-04-01)

Assessment of readiness of auxiliary mine rescue teams in coal mines
by: V. A. Rudenko
Published: (2024-09-01)

A Real-Time Vision Transformers-Based System for Enhanced Driver Drowsiness Detection and Vehicle Safety
by: Anwar Jarndal, et al.
Published: (2025-01-01)

Mining Spatiotemporal Mobility Patterns Using Improved Deep Time Series Clustering
by: Ziyi Zhang, et al.
Published: (2024-10-01)

Deep learning based identification and tracking of railway bogie parts
by: Muhammad Zakir Shaikh, et al.
Published: (2024-11-01)

Surface Multi-Hazard Effects of Underground Coal Mining in Mountainous Regions
by: Xuwen Tian, et al.
Published: (2025-01-01)

‘On board’ deep-sea mining. An ocean-based perspective
by: Marta Gentilucci
Published: (2022-12-01)

Hydrochemical characteristics and component sources of water in underground reservoirs in the Daliuta Coal Mine
by: Haitao ZHANG, et al.
Published: (2024-12-01)

INVESTIGATING THE ROLE OF HUMAN FACTORS IN THE RISK ASSESSMENT OF UNDERGROUND COAL MINES
by: Abolghasem Ghasemi, et al.
Published: (2024-01-01)

An AI-Based Approach for Developing a Recommendation System for Underground Mining Methods Pre-Selection
by: Elsa Pansilvania Andre Manjate, et al.
Published: (2024-10-01)

Experimental study on ultrasound-based underground pretreatment of mine water well
by: LI Ang, et al.
Published: (2024-10-01)

Heat Emissions from Mining Machinery: Implications for Microclimatic Conditions in Underground Workings
by: Artem Zaitsev, et al.
Published: (2024-12-01)

Robotics in underground coal mining: Enhancing efficiency and safety through technological innovation
by: Koul Parankush
Published: (2024-01-01)

Computer Vision-Based Lane Detection and Detection of Vehicle, Traffic Sign, Pedestrian Using YOLOv5
by: Raşit Köker, et al.
Published: (2024-04-01)

Violence Detection From Industrial Surveillance Videos Using Deep Learning
by: Hamza Khan, et al.
Published: (2025-01-01)

A dehazing and enhancement algorithm for heterogeneous images of underground mining environments in coal mines
by: Xuhui ZHANG, et al.
Published: (2025-01-01)

Robust Miner Detection in Challenging Underground Environments: An Improved YOLOv11 Approach
by: Yadong Li, et al.
Published: (2024-12-01)

Seq2Seq-based GRU autoencoder for anomaly detection and failure identification in coal mining hydraulic support systems
by: Kai Zhan, et al.
Published: (2025-01-01)

Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations
by: Roland Szabo
Published: (2025-01-01)

Android malware detection method based on permission sequential pattern mining algorithm
by: Huan YANG, et al.
Published: (2013-08-01)

A Deep Learning-Based Approach to Garbage Detection in urban centers
by: Slvar Abdulazeez Arif, et al.
Published: (2024-06-01)

YOLOv8-DEE: a high-precision model for printed circuit board defect detection
by: Feifan Yi, et al.
Published: (2024-12-01)

MULDT: Multilingual Ultra-Lightweight Document Text Detection for Embedded Devices
by: Alexander Gayer, et al.
Published: (2024-01-01)

A robot sorting method based on deep learning
by: Sijia TIAN, et al.
Published: (2020-09-01)

Deep-Learning-Based Automated Building Construction Progress Monitoring for Prefabricated Prefinished Volumetric Construction
by: Wei Png Chua, et al.
Published: (2024-11-01)

Investigating the Effect of Human Factors on the Underground Mine Evacuation Process Using Agent-Based Simulation
by: Peter Chidi Augustine, et al.
Published: (2024-12-01)

Detection of underground personnel safety helmet wearing based on improved YOLOv8n
by: WANG Qi, et al.
Published: (2024-09-01)