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).
- 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.
- Live Feed Input: The system processes live video streams from cameras.
- Detection Algorithm: YOLO V8 detects cars in the parking space and their occupancy status.
- Data Transmission: Detected availability is sent to a cloud-based database using Firebase.
- User App: Users view parking availability through the FindMyPark mobile app.
- YOLO V8: For object detection.
- OpenCV: To process video streams.
- Flutter: For the mobile application.
- Firebase: For cloud-based real-time data storage.
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
Kashanna Joseph and Jovan Moolah