摘要
现有的基建施工现场管控系统在人脸识别方面失误率较大,导致现场管控效果较差。为提高识别准确率,文章设计基于人工智能技术的基建施工现场管控系统。在硬件设计中,设计包括CCD驱动电路、AD采样电路、接口电路在内的系统电路;在软件设计中,基于人工智能技术提取双眼坐标区域数据,计算4类特征图像的特征值,并使用积分图的方式,改变图像特征的计算速率,得到分类样本的均值,加载人脸分类器设计基建施工现场人脸识别流程,得到基于人工智能的基建施工现场管控系统。测试加载、保存、回放、查询4种功能的事务通过率,在10组事例样本中,这4种功能的通过率均在99%以上,可见该系统的功能已经可以稳定实现,且其识别准确率较高,该管控系统实现了设计目标。
The existing infrastructure construction site management and control system has a large error rate in face recognition,resulting in poor site management and control effect.In order to improve the recognition accuracy,this paper designs the infrastructure construction site management and control system based on artificial intelligence technology.In the hardware design,the system circuit including CCD driving circuit,AD sampling circuit and interface circuit is designed;In the software design,the binocular coordinate area data is extracted based on artificial intelligence technology,the eigenvalues of four types of feature images are calculated,and the integral graph is used to change the calculation rate of image features,obtain the mean value of classification samples,load the face classifier,design the face recognition process of infrastructure construction site,and obtain the infrastructure construction site management and control system based on artificial intelligence.Test the transaction pass rate of the four functions of loading,saving,playback and query.In 10 groups of case samples,the pass rate of these four functions is more than 99%.It can be seen that the functions of the system can be stably realized,and its r ecognition accuracy is high.The control system has achieved the design goal.
作者
刘洋宇
LIU Yangyu(Shenzhen Power Supply Co.,Ltd.,Shenzhen Guangdong 518000,China)
出处
《信息与电脑》
2022年第3期137-140,共4页
Information & Computer
关键词
人工智能技术
基建施工现场
施工管控
artificial intelligence technology
Infrastructure construction site
Construction control
