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IoT Smart Parking System with Live Slot Tracking and Mobile App

An IoT smart parking final year project that detects slot occupancy using sensors and shows real-time availability on a display and mobile application.

Computer / ITElectronics / E&TCElectricalWeb Development OLED DisplayESP32Cloud DatabaseIR Sensor ModulesIoT CommunicationMobile Application DevelopmentServo Motor ControlArduino IDE · Embedded CHybrid
IoT smart parking prototype on a wooden base with ESP32 board, IR slot sensors, OLED display, LED indicators and servo barrier gate — student-built DIY electronics style.
More project photos (3)

The problem

Traditional parking systems often require drivers to manually search for available parking spaces, causing unnecessary waiting time, fuel consumption, and congestion inside parking areas.
This project demonstrates an automated parking assistance system that uses IoT-enabled sensors to monitor parking slot availability and provide real-time information to users through a display and mobile interface.

SYSTEM FLOW

6 components 5 connections

Live flow
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sensorIR Slot Sensors

IR modules at each slot detect whether a vehicle is present.

Follow the working sequence

How it works

  1. IR sensors installed at each parking slot continuously detect whether a vehicle is present.
  2. The ESP32 microcontroller collects sensor readings from all parking spaces.
  3. The controller processes the occupancy information and determines available and occupied slots.
  4. Slot status is displayed locally using an OLED display.
  5. The IoT communication system transfers parking information to the mobile application (implementation dependent).
  6. When entry access is required, the servo motor operates the barrier gate mechanism.
  7. Users can check available slots and receive parking status updates through the connected interface.

Project features

Real-Time Parking Slot Detection — IR sensor modules detect whether individual parking spaces are occupied or available.
Live Slot Availability Display — OLED display shows current parking status and available slot count.
Mobile Application Integration — Provides a mobile interface for viewing parking slot availability remotely.
Automated Entry Barrier Control — Servo motor-based barrier gate demonstrates automated vehicle entry management.
Slot Booking Indication — Displays selected or reserved slot status through the connected system.
IoT-Based Monitoring — Enables connected monitoring of parking data through embedded hardware.
LED Parking Status Indicators — LEDs provide visual indication of occupied and free parking spaces.
Expandable Parking Management Design — System architecture can be extended for additional slots and features.

What is included

Complete working prototype hardware setup.
ESP32-based controller programming.
IR sensor-based parking slot detection system.
OLED display integration for slot information.
Servo motor-based barrier gate mechanism.
LED indication system.
Mobile application interface (if included in selected implementation).
Project documentation and basic explanation support.

Advantages

  • Real-time occupancy detection: IR sensor modules detect whether each individual parking space is occupied or free.
  • Live slot availability shown on an on-site OLED display (current status and free-slot count) plus remote viewing through the integrated mobile app.
  • Servo motor–based barrier gate demonstrates automated vehicle entry management.
  • LED indicators give at-a-glance visual status of each parking slot — occupied or free.
  • Expandable architecture: the design can be extended with more slots and additional parking-management features.

Disadvantages

  • Detection accuracy depends on IR sensor positioning and environmental conditions such as ambient light.
  • Designed as an academic prototype — a large parking facility would need industrial-grade sensors and additional infrastructure.
  • Remote monitoring and mobile-app features depend on network availability.
  • Physical parking guidance and vehicle identification are not included unless customised for the deployment.

Limitations & prerequisites

Prerequisites:
• Basic understanding of electronics and embedded systems.
• Knowledge of ESP32 programming concepts.
• Familiarity with IoT communication concepts.
• Basic understanding of mobile application usage.
• Power supply availability for prototype operation.

Limitations:

  1. Prototype accuracy depends on IR sensor positioning and environmental conditions.
  2. The system is designed as an academic prototype and may require industrial-grade sensors for large parking facilities.
  3. Mobile application and cloud connectivity features depend on the selected implementation.
  4. Physical parking guidance and vehicle identification are not included unless customised.
  5. Network availability may affect remote monitoring features.
  6. Large-scale deployment requires additional hardware and infrastructure planning.
Components & software requirements

ESP32 development board
IR sensor modules
Servo motor
OLED display module
LED indicators
Connecting wires and prototype base
Arduino IDE / Embedded programming environment
Mobile application interface (technology/platform needs confirmation)

Delivery information

Estimated delivery timeline: Needs confirmation based on final requirements, number of parking slots, and selected customisations.

Customisation options

• Increase number of parking slots.
• Add RFID-based vehicle identification.
• Add number plate recognition integration.
• Add advanced mobile application features.
• Add cloud dashboard and analytics.
• Modify display and user interface design.
• Integrate payment or booking features.

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Chen et al. (2016), Transportation Research Record

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