An algorithm for counting drill pipe in coal mine based on human posture recognition

To solve the problem of low efficiency of the current drill pipe counting method, a new drill pipe counting algorithm based on human posture recognition is proposed in this paper. Through the back-end algorithm, real-time analysis the video of drilling withdrawal which is in drilling face, record the key point coordinates of the human body, and determine the actual number of drill pipe by detecting whether the worker captures the drill pipe and whether there is carrying action. The method detects the continuous action of the workers taking down the drill pipe through human posture recognition, and automatically calculates the number of the workers taking out the drill pipe, so as to improve the accuracy of the intelligent video analysis of the drill pipe count, and has good engineering application value.

Authors

Institutions

Publication Details

Published
2025-01-16
DOI
https://doi.org/10.1117/12.3045034
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An algorithm for counting drill pipe in coal mine based on human posture recognition

Yalei Hu
Hand Gesture Recognition Systems
article

An algorithm for counting drill pipe in coal mine based on human posture recognition

Yalei Hu
article en

Abstract

To solve the problem of low efficiency of the current drill pipe counting method, a new drill pipe counting algorithm based on human posture recognition is proposed in this paper. Through the back-end algorithm, real-time analysis the video of drilling withdrawal which is in drilling face, record the key point coordinates of the human body, and determine the actual number of drill pipe by detecting whether the worker captures the drill pipe and whether there is carrying action. The method detects the continuous action of the workers taking down the drill pipe through human posture recognition, and automatically calculates the number of the workers taking out the drill pipe, so as to improve the accuracy of the intelligent video analysis of the drill pipe count, and has good engineering application value.

Tiandi Science & Technology (China) (CN)
Openalex Percentile: Top 100%
Hand Gesture Recognition Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.