摘要
传统空闲座位资源整合方法存在信息不准确、预约困难等问题。为此,提出基于YOLOv7算法与物体识别技术的空闲座位资源整合方法。利用摄像头监控采集图像,整合座位状态信息,将经过抽帧处理的图像数据存储于腾讯云服务器中;利用YOLOv7算法判断图书馆座位的空闲状态,以方便校内师生预约使用。该方法可以提高图书馆座位的利用效率,为用户提供便利和实时的座位预约服务。
The traditional method of free seat resource integration has some problems,such as inaccurate information and reservation difficulty.Therefore,a free seat resource integration method based on YOLOv7 algorithm and object recognition technology is proposed.The camera is used to monitor and collect images,and the seat status information is integrated,and the image data after frame extraction is stored in Tencent cloud server.The YOLOv7 algorithm was used to judge the free state of library seats for the convenience of teachers and students on campus.This method can improve the utilization efficiency of library seats and provide users with convenient and real-time seat reservation service.
作者
苗兴德
侯皓文
李晨龙
杜红燕
王海波
MIAO Xingde;HOU Haowen;LI Chenlong;DU Hongyan;WANG Haibo(Sias University,Zhengzhou Henan 451150,China)
出处
《信息与电脑》
2023年第20期144-146,共3页
Information & Computer
基金
河南省高等学校大学生创新训练计划项目创新项目“基于YOLOv7目标检测技术的空闲座位资源整合系统”(项目编号:202214654017)。
关键词
人工智能
YOLOv7
物体识别技术
座位资源整合
artificial intelligence
YOLOv7
object recognition technology
seat resource integration
