Investigation of an object-detection approach for estimating the rock fragmentation in the open-pit conditions
Optimization of open-pit mining is one of significant tasks to date, with the blasting quality estimation being a key factor. The blasting quality is determined through evaluating the number of fragments and block size distribution, the so-called fragmentation task. Currently, computer vision-based...
Saved in:
Main Authors: | K. Reshetnikov, M. Ronkin, S. Porshnev |
---|---|
Format: | Article |
Language: | English |
Published: |
Samara National Research University
2024-04-01
|
Series: | Компьютерная оптика |
Subjects: | |
Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO48-2/480214e.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid human fall detection method based on modified YOLOv8s and AlphaPose
by: Lei Liu, et al.
Published: (2025-01-01) -
Side-Scan Sonar Small Objects Detection Based on Improved YOLOv11
by: Chang Zou, et al.
Published: (2025-01-01) -
Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots
by: Xiaojie Shi, et al.
Published: (2025-01-01) -
MEVDT: Multi-modal event-based vehicle detection and tracking datasetDeep Blue Data
by: Zaid A. El Shair, et al.
Published: (2025-02-01) -
Analysis of PM10 trends in open-pit mining: Assessing emission controls and WHO guideline compliance
by: Roberto Rojano, et al.
Published: (2025-02-01)