编辑 | blame | 历史 | 原始文档

无人机智能巡检平台——后端服务模块

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若依 Java SpringBoot2.5.14 Mqtt 定时任务 WebSocket 大疆无人机 MySQL Mybatis-Plus

项目说明:本项目基于若依框架搭建,可以对无人机进行监控,包括视频监控、不安全行为分析、无人机状态监控、权限管理、不安全行为预警。本开源项目是后端服务模块。

这个代码价值百万,现在分享出来,希望大家能提交更多的功能模块

默认登录账号密码:admin admin123

总共有四大模块:视频分析模块(C++)、后端服务模块(基于若依)、流媒体服务模块、前端展示模块(Vue)

项目运行,git克隆后,先下载依赖,jdk版本是1.8,点击运行即可。

打包成jar方法:1.Maven里面点击下面图片这个,先点击1,然后点击2

图片

2.确保ruoyi-admin目录下面pd文件夹中有内容,如果没有就多clean几遍

图片

3.然后点击install后,会发现admin/target目录下生成了jar包,然后运行右键运行即可

图片图片图片

项目运行所需要的环境:MySQL5.7(我用的5.7,其他版本自测)、Redis

项目特色:

  • 调用更改后的YoloV8s模型,进行无人机拍摄的不安全行为实时检测。
  • 使用RTSP进行拉流,从无人机网关拉取无人机视频流,使用Mqtt订阅无人机的消息(proto3)语法。
  • 可以对预警信息生成Excel表单,实时展示系统预警状态以及各类指标。
  • 支持大屏展示,使用WebSocket进行数据交互,降低服务器压力。
  • 可以规划预警区域,只有无人机进入规划的预警区域才会发生预警行为。(开发中)
  • 自定义识别的参数:置信度,识别的物体类别;自定义报警参数:预警最短时间间隔,预警类别等。
  • 可以对视频流进行识别开始,识别终止等操作。
  • 视频分析模块与后端服务模块,采用接口交互,降低耦合,方便单独拿出使用。(视频分析模块已经开源)

工作大致流程:使用ZlmediaKit流媒体服务器接受从无人机网关的视频流,然后收到Mqtt消息根据用户设置进行开始识别,调用视频分析模块进行拉流处理,解帧,得到视频帧,对帧画面使用Tensorrt推理加速处理视频帧,使用OpenCV对视频帧进行画框,然后合成帧,推流到ZlmediaKit流媒体服务器。前端使用Flv.js进行播放,如果出现设定的预警标准,会进行弹窗预警以及生成预警信息。

项目截图:
输入图片说明输入图片说明输入图片说明输入图片说明输入图片说明输入图片说明输入图片说明输入图片说明img.pngimg.png

编辑 | blame | 历史 | 原始文档
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