Debalina Banerjee, Akashjyoti Banik, Sanjib Kumar Singh, K. K. Sarma
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引用次数: 0
摘要
这项工作的核心是设计机器人车辆进入高风险区域执行危险任务的监控操作。该系统与通过虚拟界面控制的机器人车集成,并得到实时视频流的有力支持。在这里,运动检测传感器被用作简单但功能强大的人员存在检测器和警报触发器。此外,该设计还配备了金属探测器和气体探测传感器,可定期或在事件发生时对行动区内可能存在的地雷以及化学物质、高能量材料或有毒气体进行预防。气体传感器的实时数据存储在本地机器中,还使用 Raspberry Pi 微型计算机开发的语音识别系统来检测音频信号。它会对特殊/未知/首次出现的音频威胁模式发出例行警报。该系统采用低成本组件设计。
IoT platform based Smart Assistant for Surveillance
Surveillance operations designed to be carried out by a robotic vehicle for entry into an area of higher risks and perform hazardous tasks form the core of this work. The system is integrated with a robotic vehicle that is controlled through a virtual interface and well supported by live video streaming. Here, the motion detection sensor is used as a simple but powerful human presence detector and alarm trigger. Also, the design has a metal detector and gas detecting sensor that can provide precaution against potential landmines present in the operations area and presence of chemicals, high energy materials or poisonous gases on regular and event-based occurrence. The real-time data of the gas sensor is stored in the local machine and also uses a speech recognition system developed using Raspberry Pi microcomputer to detect audio signals. It generates routine alarms on special/unknown/ first time patterns of audio threats. The system is designed using low-cost components.