Design of computer vision surveillance system for tower cranes

SUN Hong-jun; ZHAO Zuo-lin; XU Guan-qun

doi:10.13873/J.1000-9787(2016)08-0070-04

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Design of computer vision surveillance system for tower cranes

更新时间：2025-09-11

- Design of computer vision surveillance system for tower cranes
- Vol. 35, Issue 8, Pages: 70-73(2016)
- 作者机构：
  
  1. 天津大学电气与自动化工程学院
  2. 天津市过程检测与控制重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)08-0070-04
  CLC： TH213.3;TP391.41
- Published：2016
- 稿件说明：
移动端阅览
[1]孙宏军,赵作霖,徐冠群.塔式起重机机器视觉监控系统设计[J].传感器与微系统,2016,35(08):70-73.

SUN Hong-jun, ZHAO Zuo-lin, XU Guan-qun. Design of computer vision surveillance system for tower cranes[J]. 2016, 35(8): 70-73.
[1]孙宏军,赵作霖,徐冠群.塔式起重机机器视觉监控系统设计[J].传感器与微系统,2016,35(08):70-73. DOI： 10.13873/J.1000-9787(2016)08-0070-04.

SUN Hong-jun, ZHAO Zuo-lin, XU Guan-qun. Design of computer vision surveillance system for tower cranes[J]. 2016, 35(8): 70-73. DOI： 10.13873/J.1000-9787(2016)08-0070-04.

摘要

为解决各类施工现场以塔机运行过程中的安全问题

设计了一套基于视觉传感技术的智能视频监控系统

根据实际需要

在嵌入式平台上配合图像传感器和视觉跟踪TLD算法

实现了对塔机吊臂运动轨迹的追踪定位、判断和预警。测试结果表明:系统的检测率和正确率均能达到95%以上。

Abstract

In order to solve security problems in the operation process of tower crane

an intelligent video surveillance system based on machine vision is designed. According to actual needs

image sensors and TLD algorithm are selected for the embedded platform to realize positioning

judging and warning of jib motion trajectory. Test results show that detection rate and accuracy of the system can reach above 95 %.

关键词

Keywords

references

基于有限状态机的智能抄表集中器设计与实现 [J]. 崔家瑞,李擎. 实验室研究与探索 . 2014(08)

OpenCV在车牌识别中的应用 [J]. 姜莉莉,蒋潇,陈昕怡,殷旭东. 软件 . 2014(03)

嵌入式彩色图像传感器重构系统的设计与实现 [J]. 贾佳,白瑞林,钱勇,黄晓江. 传感器与微系统 . 2011(03)

嵌入式Linux下MiniGUI的编译、移植与实现 [J]. 任强,彭瑞. 计算机技术与发展 . 2010(03)

基于嵌入式机器视觉的信息采集与处理技术研究 [D]. 龚爱平. 浙江大学 2013

基于TLD框架的目标跟踪算法研究 [D]. 龚小彪. 西南交通大学 2014

基于GPRS的塔机实时状态远程监控系统研究 [D]. 谢小光. 浙江工业大学 2009

塔机自动安全监控系统 [D]. 李浩. 大连海事大学 2008

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