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🚗 FindMyPark - A Parking Detection System

FindMyPark is a parking detection system that uses a live video stream to identify available parking spots in a university parking lot. The system leverages YOLO V8 for real-time detection, color-coding parking spaces as red (unavailable) and green (available). The detected spaces are displayed on a user-friendly mobile app built with FlutterFlow (not inlcuded).

🌟 Features

  • Real-Time Detection: Uses live-stream video input to monitor parking spaces.
  • Color-Coded Indicators: Red 🟥 for unavailable, Green 🟩 for available spots.
  • Mobile Integration: Parking data is displayed through a responsive Flutter-based app.
  • Environmentally Friendly: Helps reduce emissions by minimizing search time.

🚀 How It Works

  1. Live Feed Input: The system processes live video streams from cameras.
  2. Detection Algorithm: YOLO V8 detects cars in the parking space and their occupancy status.
  3. Data Transmission: Detected availability is sent to a cloud-based database using Firebase.
  4. User App: Users view parking availability through the FindMyPark mobile app.

🔧 Technologies Used

  1. YOLO V8: For object detection.
  2. OpenCV: To process video streams.
  3. Flutter: For the mobile application.
  4. Firebase: For cloud-based real-time data storage.

🧑‍💻 Authors and Contributors

This is a UWI ECNG 2007 - Computer Systems and Software Design (Semester I- 2024/2025) project done by:

Vishwesh Pattanaik, Renita Bharatsingh, Kiara Creed, Daniel George and Johnathan Manzano

Mentored by:

Kashanna Joseph and Jovan Moolah