当前位置:网站首页>Safety helmet identification system - escort for safe production
Safety helmet identification system - escort for safe production
2022-08-11 06:16:00 【Beijing Fuwei Image】
Security concerns are bigger than the sky!Because of not wearing a safety helmet, accidents have been repeatedly prohibited during construction operations.Fuwei image helmet recognition system is based on artificial intelligence image recognition technology, monitoring the wearing of helmets in real time, and escorting the safety of on-site staff!
Hard hat identification case diagram
The construction operation area is often huge in scope, complex in terrain, and divided into many operation areas. Manual supervision is very difficult and the effect is not good. It not only consumes a lot of human and financial resources, but also can not avoid the occurrence of danger.And with the arrival of summer, the weather is getting hotter and hotter, and many workers want to cool off. During construction, they take off their safety helmets, causing potential safety hazards.If we want to comprehensively supervise the wearing of helmets in a timely manner, it is difficult to do it by manpower alone, and we need to rely on the power of technology.The safety helmet recognition system receives the video from the on-site camera, and analyzes the wearing situation of the safety helmet in the image through a rigorous algorithm. Once it is found that the on-site personnel violates the rules and does not wear the safety helmet, the system will issue an alarm to remind the workers and supervisors on site to timelymake corrections.Reduce the occurrence of risks at the lowest cost, protect the life safety of personnel, protect the interests of enterprises, and ensure the occurrence of safe production.
Hard hat identification case diagram
In the construction site, there is not only the supervision of wearing helmets, but also fire prevention, smoke prevention, and intrusion into dangerous areas, which will lead to safety problems.Each is deployed separately, the cost is undoubtedly huge, and it is difficult to manage, and the idea of we want to facilitate security management upside down.The helmet wearing recognition system can be concurrent with other recognition algorithms. The algorithm can be set according to the needs. One camera can concurrently have multiple algorithms, which can be freely matched by users, which can better ensure safe production.
The safety helmet identification system on the market is dizzying, but the results of some professionals' tests of these products are often mixed, which makes it difficult to rest assured.So how to choose a helmet identification system?The helmet recognition system is trained by the self-developed training model, which continuously improves the development efficiency of the algorithm and achieves the practical effect of small samples and high accuracy.One host can simultaneously access dozens of video channels for analysis, meeting the needs of large-scale analysis.The optimization of system computing power makes the system do not need GPU, only CPU can be used, which greatly reduces the cost!
AI intelligence
The helmet identification system has been developed for many years, and it is constantly updated, just to keep improving and become the escort of safe production!
The following has nothing to do with the original text
-------------------------------------------------------------
#include
int main ( )
{ printf ("**************************\n\n");
printf(" hello World!\n\n");
printf ("**************************\n");
return 0;
}
边栏推荐
- SCNet:Semantic Consistency Networks for 3D Object Detection
- 通过字符设备虚拟文件系统实现kernel和userspace数据交换(基于kernel 5.8测试通过)
- 若依分离版—增加通知公告预览功能
- >>技术应用:*aaS服务定义
- windows下的redis安装及密码修改
- 正则表达式与绕过案例
- Nodered系列—使用mqtt写入国产数据库tDengine
- LAGRANGIAN FLUID SIMULATION WITH CONTINUOUS CONVOLUTIONS
- CVPR2022——A VERSATILE MULTI-VIEW FRAMEWORK
- 梅科尔工作室-DjangoWeb 应用框架+MySQL数据库第六次培训
猜你喜欢
随机推荐
梅科尔工作室-DjangoWeb 应用框架+MySQL数据库第三次培训
SCNet: Semantic Consistency Networks for 3D Object Detection
CVPR2022——A VERSATILE MULTI-VIEW FRAMEWORK
基于uniapp开发的聊天界面
若依分离版—移动端开发通知公告功能
Redis哨兵模式
梅科尔工作室-Pr第二次培训笔记(基本剪辑操作和导出)
LAGRANGIAN FLUID SIMULATION WITH CONTINUOUS CONVOLUTIONS
>>技术应用:用于 REST API 开发和测试的 10 大工具
浙江大学软件学院2020年保研上机真题练习
OpenPCDet installs the latest version: spconv in one step
Maykle Studio - HarmonyOS Application Development Third Training
安全帽识别系统
2021-05-10
正则(三剑客和文本处理工具)
C语言字节对齐,看这篇就够了
TAMNet: A loss-balanced multi-task model for simultaneous detection and segmentation
AI-based intelligent image recognition: 4 different industry applications
梅科尔工作室-DjangoWeb 应用框架+MySQL数据库第六次培训
GBase 8s与Oracle锁对比