使用物联网通过姿势自动识别囚犯的火力和行为的系统

S. Nandyal, Soumya Mugali
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引用次数: 0

摘要

囚犯非常危险,警察部门很难监控他们,因为囚犯有可能试图逃离监狱。为了克服这一问题,提出了目前的工作。这项工作涉及设计和发展一个自动化系统,利用传感器,即加速度计传感器和烟雾传感器,分析囚犯的姿势和行为。传感器主要安装在囚犯的身体上,手臂、腿和背部。传感器的数据将定期上传到云端。每当发现囚犯有逃跑的动作或任何不当行为时,更新的传感器值就会提醒管理人员囚犯正在试图逃跑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Automated System for Identification of Fire and Behaviour of Prisoners Through Posture Using IOT
Prisoners are very dangerous and it’s very difficult for the police department to monitor them because, there are chances that the prisoners can try to escape from the prison. To overcome this problem, the present work has been proposed. The work deals with design and development of an automated system to analyze the posture and behavior of the prisoners using the sensors namely, accelerometer sensors and smoke sensor. The sensors are placed on the body of the prisoner mainly, arm, leg and back part. The sensor values will be uploaded on to the cloud periodically. Whenever, the prisoner makes a movement to escape or any misbehavior activities are found, the updated sensor values alert the admin that the prisoner is trying to escape.
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