Visualized Intelligent Warehouse Safety Control System Using Target Detection

Bin Zhang, Yi Hao, Jing Zhou, Xiaoming Li, Huichao Li, Shuai Wang, Ximin Sun
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Abstract

In response to the phenomenon of weak warehouse security and low defensiveness, we have built an intelligent risk identification security management and control system to help the company's warehouse security comprehensively improve. By combining multi-dimensional video, infrared monitoring, image recognition, trajectory motion mathematical model, multi-dimensional information fusion and other related technologies, the system recognizes and monitors the movement trajectory of warehouse personnel, work clothes, and safety helmets, and conducts multi-dimensional safety management and control. Realize the identification of unsafe clothing and real-time warning and prompt of illegal intrusion of staff in the warehouse, minimize the occurrence and prevention of safety accidents, and improve the company's intelligent warehouse safety management and control level.
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基于目标检测的可视化智能仓库安全控制系统
针对仓库安全防范薄弱、防御能力低的现象,我们构建了智能风险识别安全管控系统,帮助公司仓库安全全面提升。系统结合多维视频、红外监控、图像识别、轨迹运动数学模型、多维信息融合等相关技术,对仓库人员、工作服、安全帽的运动轨迹进行识别和监控,进行多维安全管控。实现对不安全服装的识别和对仓库内人员非法侵入的实时预警和提示,最大限度地减少安全事故的发生和预防,提高公司智能仓库安全管控水平。
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