Challenges we ran into

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🧩 Problem Statement (PS)

Urban areas face major parking challenges:
• Manual parking management causes delays, confusion, and long wait times.
• Drivers waste time searching for empty slots, increasing congestion and fuel consumption.
• Security issues because cars are not tracked properly.
• Owners lack real-time data on occupancy, revenue, misuse, and slot usage.
• No automation in verifying car number plates, parking time, or fee calculation.
• Inefficient attendants lead to human errors, incorrect entries, and disputes.

Overall, manual parking creates traffic congestion, time waste, and higher emissions, especially in India where parking systems are largely unorganized.

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🚀 Solution (Your App + System)

Your system provides a fully automated, smart parking solution using Computer Vision + IoT + FastAPI backend + Mobile App.

1. Real-Time Slot Detection
   • Uses YOLO/OpenCV models to detect:
   ✔ Occupied slots
   ✔ Free slots
   ✔ Car entry/exit time
   ✔ Parking duration
   • Live data is pushed to Firebase/your app instantly.

2. Car Size Detection Model
   • Automatically detects vehicle type (hatchback, SUV, sedan).
   • Allocates best-fit slots for efficient space usage.
   • Prevents large vehicles from occupying small spaces.

3. Automatic Number Plate Recognition (ANPR)
   • Detects and reads vehicle number plates on entry.
   • Automates:
   ✔ Entry logging
   ✔ Exit verification
   ✔ Security check
   ✔ Auto fee calculation

4. Owner Dashboard (UI/UX)

Shows complete parking analytics:
• Live occupancy
• Slot-wise usage
• Peak hours
• Real-time feed
• Violations
• Revenue calculation
• Average parking time

5. User App

For drivers:
• See free slots instantly
• Get booked slot number
• Digital entry/exit
• E-receipt and payment
• Navigation to slot

6. Automated Gate Control
   • Gate opens automatically when:
   ✔ ANPR match + free slot
   ✔ Pre-booking validation
   • Reduces queues at entry/exit.

7. FastAPI Backend + Cloud Deployment
   • FastAPI for all API communication
   • Firebase for live updates
   • Can be deployed on Render/AWS/GCP
   • Scalable and fast