SmartPark v5

Advanced Intelligent Parking Management System

Project Team

Pratham Yadav

Kalepu Yashavardhan

Overview

SmartPark v5 is a comprehensive IoT-enabled parking management solution designed to optimize urban mobility. By integrating edge computing hardware (ESP32/Raspberry Pi) with a sophisticated web platform, the system delivers real-time occupancy monitoring, seamless capability for advance slot booking, and intelligent navigation assistance.

The platform features a Dynamic Floor Plan offering immediate visual feedback on slot availability, utilizing advanced pathfinding algorithms to guide users efficiently to their designated spots.

System Architecture

The architecture of SmartPark v5 is designed for modularity, scalability, and real-time performance. It consists of three primary layers:

1. Presentation Layer (Frontend):

   • Built with React.js and Vite for high-performance rendering.
   • Visualizes the parking floor plan dynamically.
   • Communicates with the backend via RESTful APIs to fetch slot status and manage bookings.

2. Logic & Data Layer (Backend):

   • Powered by FastAPI (Python), ensuring low-latency request handling.
   • Manages the state of all parking slots, processing data from hardware sensors and user interactions.
   • Implements complex logic for pathfinding (A* algorithm), conflict resolution for bookings, and user authentication.

3. Physical Layer (Hardware & Edge Computing):

   • Raspberry Pi 4: Acts as the central gateway and controls local sensors for Mall 1. It hosts the backend server.
   • ESP32 Node: A wireless sensor node for Mall 2 that transmits ultrasonic sensor data to the main server over WiFi. It also controls local LED indicators for booking visualization.

Key Capabilities

• Real-Time Occupancy Detection: Precision monitoring using HC-SR04 ultrasonic sensors.
• Advanced Booking Engine:
  • Flexible scheduling for Today and Tomorrow.
  • Multi-slot reservation capability.
  • Automated conflict resolution logic.
• Intelligent Navigation:
  • Interactive Floor Plan: Dynamic visualization of slot states (Free, Occupied, Booked, My Booking).
  • A Pathfinding*: Optimal route calculation from entry to slot.
  • Load Balancing: Automated redirection to alternative levels when capacity is reached.
• Accessibility Focus:
  • Reserved zones for Disabled and Elderly users.
  • Profile-based access control ensuring restricted slots are only bookable by authorized users.
• Hardware Feedback Loop:
  • Physical LED indicators sync with digital booking state in real-time.

---

Technology Stack

Software

• Frontend: React.js, Vite, Canvas API, GSAP.
• Backend: FastAPI (Python), Uvicorn, Pydantic.
• Data Persistence: In-memory structure (Performance-optimized for demonstration).
• Protocols: REST API, HTTP/JSON.

Hardware

• Central Unit: Raspberry Pi 4.
• Sensor Nodes: ESP32 (WiFi-enabled Microcontroller).
• Sensors: HC-SR04 Ultrasonic modules.
• Actuators: Status LEDs.

---

Installation & Deployment

Prerequisites

• Python 3.9+
• Node.js & npm
• Raspberry Pi (Generic Linux environment supported)
• ESP32 Development Board

1. Repository Setup

git clone https://github.com/YourRepo/SmartPark.git
cd SmartPark/smartparkv5

2. Backend Initialization

The backend server manages logic and hardware communication.

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r backend/requirements.txt

3. Frontend Initialization

The React-based user interface.

cd frontend
npm install
cd ..

4. Application Launch

A unified script is provided for development convenience.

chmod +x run_dev.sh
./run_dev.sh

• Backend API: http://localhost:8000
• User Interface: http://localhost:5173

---

Hardware Configuration

Pinout Mapping

Raspberry Pi (Mall 1)

Directly GPIO-connected sensors.

• Slot 1: Trig GPIO 23, Echo GPIO 24
• Slot 2: Trig GPIO 27, Echo GPIO 22
• Slot 3: Trig GPIO 5, Echo GPIO 6
• Slot 4: Trig GPIO 13, Echo GPIO 19

ESP32 (Mall 2 - Wireless Node)

Operates as a remote client sending data to the Main Server.

• WiFi Configuration: Update credentials in firmware/smartpark_esp32/smartpark_esp32.ino.
• Sensor Map:
  • S1: Trig 13, Echo 33
  • S2: Trig 12, Echo 32
  • S3: Trig 14, Echo 35
  • S4: Trig 27, Echo 34
• Indicators:
  • S1 LED: Pin 25
  • S2 LED: Pin 26

Firmware Deployment

1. Load firmware/smartpark_esp32/smartpark_esp32.ino in Arduino IDE.
2. Target Board: AI Thinker ESP32-CAM or DOIT ESP32 DEVKIT V1.
3. Verify serverUrl matches the backend host IP.
4. Flash firmware.

---

User Manual

1. Dashboard Access: Launch the web interface and select a target facility (Mall 1 or Mall 2).
2. Slot Reservation: Tap any available Green slot. Choose the booking date ("Today" or "Tomorrow") and confirm.
3. Route Guidance: Select "Navigate" on your booked slot to visualize the path.
4. Smart Redirection: Use "Navigate to Closest" for automated assignment of the best available parking spot.

Maintained by Pratham Yadav and Kalepu Yashvardhan