采用ESP32-CAM的基于物联网的非接触式停车系统

Vicky Andria Kusuma, Hamzah Arof, S. S. Suprapto, Bambang Suharto, Rizky Amalia Sinulingga, Fadli Ama
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引用次数: 0

摘要

随着技术的不断进步,为应对持续的COVID-19疫情,世界各国政府实施了卫生协议,以尽量减少个人与物体之间的直接接触。为了满足这一需求,使用基于微控制器和物联网(IoT)的系统设计了一个非接触式停车门户,以Arduino UNO微控制器设备作为核心组件。该系统除了需要ESP32-CAM摄像头、伺服电机、发光二极管(LED)、I2C 16x2液晶显示器(LCD)、按钮、通用串行总线(USB)到晶体管-晶体管逻辑(TTL)转换器、电源和门户条外,还采用超声波传感器HC-SR04和被动红外(PIR)来检测车辆到达门户区域。系统构建器软件采用Arduino集成开发环境(IDE)、Android和Blynk进行开发。作者对系统进行了全面的测试和分析,其总体性能达到100%。然而,尽管进行了广泛的实验,仍然存在某些因素可能影响结果的可能性。因此,在解释本实验结果时应谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An internet of things-based touchless parking system using ESP32-CAM
As technology continues to advance, governments around the world have implemented health protocols to minimize direct contact between individuals and objects, in response to the ongoing COVID-19 outbreak. To address this need, a touchless parking portal was designed using a microcontroller-based and internet of things (IoT) -based system, with the Arduino UNO microcontroller device serving as the core component. The system employs an ultrasonic sensor HC-SR04 and passive infrared (PIR) to detect vehicles as they arrive at the portal area, in addition to requiring an ESP32-CAM camera, servo motor, light-emitting diode (LED), I2C 16x2 liquid crystal display (LCD), push button, universal serial bus (USB) to transistor-transistor logic (TTL) converter, power supply, and portal bar. The system builder software was developed using Arduino integrated development environment (IDE), Android, and Blynk. The authors conducted thorough testing and analysis of the system, concluding that its overall performance reaches 100%. Nevertheless, despite the extensive experimentation conducted, there remains a possibility that certain factors could still affect the results. Therefore, caution is advised when interpreting the outcomes of this experiment.
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