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IoT parking system uses ultrasonic sensors and Arduino Nano 33 IoT for real-time urban parking monitoring. User-friendly web app enables spot reservation, optimizing space usage and reducing congestion. QR code integration streamlines user access to the portal.

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PARKIN’ (1)

The IoT-based parking system represents an intelligent approach to streamline and enhance parking management in urban settings. Employing ultrasonic sensors and the Arduino Nano 33 IoT, this system actively detects and monitors real-time parking space availability. Through a user-friendly web application, drivers can effortlessly locate and reserve parking spots. The system not only facilitates easy access for drivers but also ensures the optimal utilization of parking spaces, thereby mitigating road congestion. Additionally, the inclusion of a QR code allows users to conveniently scan and access the portal.

Installation 💽

Use git to clone this app.

git clone https://github.com/sidd5449/Parkin .

Running the server 💽

cd ./server.
npm i
nodemon index.js

Features 💡

  • Real-time availability of parking spots
  • Reservation of parking spots

Technologies Used ⚙️

  • React Js
  • SCSS
  • Express Js
  • Mongo DB

Snapshots 📸

Benefits 👀

  • Reduced traffic congestion and air pollution
  • Improved parking efficiency and user experience
  • Cost savings for parking facility management
  • Enhanced safety and security for vehicles

Conclusion 🛠

IoT based parking system is a promising solution to tackle the challenges of parking management in urban areas. With its innovative technologies and user-friendly applications, it can optimize parking utilization, reduce traffic congestion and air pollution, and improve the overall urban experience for both drivers and pedestrians.

Credits 🙏🏻

License 🪪

MIT

About

IoT parking system uses ultrasonic sensors and Arduino Nano 33 IoT for real-time urban parking monitoring. User-friendly web app enables spot reservation, optimizing space usage and reducing congestion. QR code integration streamlines user access to the portal.

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  • JavaScript 81.1%
  • HTML 9.4%
  • CSS 8.7%
  • SCSS 0.8%