基于手语的摩托车安全系统(互联网的东西)

Tatik Juwariyah, Didit Widiyanto, Sri Sulasmingsih
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引用次数: 5

摘要

摩托车盗窃案是社区普遍存在的问题之一,需要找到一个解决方案。保护摩托车免受潜在盗窃的解决方案之一是安装智能车辆技术(smart vehicle e)。本文介绍了在智能手机上使用Arduino Mega微控制器、指纹传感器、ESP8266和Blynk应用程序的物联网车辆安全系统的设计。在实验中,本研究使用了一辆代表公共摩托车模型的自动变速器摩托车。在研究方法上,本研究采用了三个阶段的设计。第一阶段是利用指纹传感器和单片机编写摩托车安防系统的原型硬件。第二阶段,在基于esp8266的智能手机和Blynk应用程序上使用通知系统的物联网设计。在第三阶段,安全系统和通过智能手机发送的通知系统相结合。在第一阶段的试验结果中,有五个人(他们的指纹已注册和未注册)参与其中,以表明该系统如我们预期的那样工作。这意味着即使车辆点火处于“ON”位置,摩托车发动机也不能使用电动启动方法或使用曲柄启动系统启动。为了能够“启动”摩托车发动机,必须首先验证用户的指纹。在试验的第二阶段,智能手机上的Blynk应用程序将通知启动摩托车的人的指纹是否经过验证。最后,在试验的最后阶段,可以在智能手机上实现以通知形式的信息系统,告知试图启动摩托车发动机的用户是否已经验证。该研究结果有望成为摩托车和其他车辆安全系统的物联网应用参考
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Purwa Rupa Sistem Pengaman Sepeda Motor Berbasis IoT (Internet of Things
The case of motorbike theft is one of the common problems in the community that needs to be found a solution. One  of solutions  to  secure  motorbikes  from  potential  theft  is  to install smart vehicle technology (smart vehicl e). This paper describes  the  design  of  IoT  vehicle  safety  systems  using Arduino  Mega  microcontroller,  fingerprint  sensor, ESP8266 and  Blynk applications on smartphones. For the experiment,  this  study  uses  an  automatic  transmission motorbike that represents the public motorcycle model. For research  methods,  this  study  uses  three  stages  of  design. The  first  stage  is to  compile  the  prototype  hardware  of  a motorcycle security system using a fingerprint sensor, and a  microcontroller.  The  second  phase,  IoT  that  uses  a notification  system  on  ESP8266-based  smartphones  and Blynk  applications  are  designed.  In  the  third  stage,  the security  system  and  notification  system  sent  via  the smartphone are combined. In the results of the first phase of the trial, five people (whose fingerprints were registered and not registered) were involved to show the system was working as we expected. This means that even if the vehicle ignition  is  in  the  "ON"  position,  the  motorcycle  engine cannot be started using an electric starter method or using a  crank  start  system.  To  be  able  to  "start"  a  motorcycle engine, the user's fingerprint must be verified first. In the second  phase  of  the  trial,  notification  via  the  Blynk application  on  the  smartphone  will  show  someone's fingerprint that started the motorcycle has been verified or not  verified.  Finally  in  the  final  stage  of  the  trial, information  systems  in  the  form  of  notifications  on smartphones can be realized to inform users who are trying to  start  the  motorcycle  engine  have  been  verified  or  not verified. The  results  of  this  study  are  expected  to  become IoT  applied  references  for  motorcycle  and  other  vehicle security systems
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