Smart Parking Detection AI

Say goodbye to circling the streets, wasting time, and burning fuel just to find a parking spot. Welcome to the future of urban mobility with our Smart Parking Detection System — a real-time AI-powered solution that redefines how cities manage parking. Why this matters: In busy cities, finding parking can be a daily nightmare. Traditional systems are outdated, slow, and require human oversight. This project uses YOLOv8 deep learning to automatically detect if a parking space is occupied or available, from just a camera feed. It’s fast, smart, and accurate — no sensors, no guesswork. What it does: - Detects empty and occupied parking spots using video or image feeds - Uses a custom-trained YOLOv8 model with real parking data - Works in real-time with high precision, even in bad lighting or crowded scenes - Fully automatic with no human intervention Benefits you can’t ignore: - Time-saving: No more driving around looking for parking - Eco-friendly: Reduces emissions by minimizing idle engine time - Cost-effective: Requires only a camera, no expensive infrastructure - Scalable: Can be used in malls, hospitals, campuses, or entire cities How it works: We trained our model on a custom-labeled dataset of real-world parking lots. Using YOLOv8's powerful object detection, the system instantly classifies parking spaces as occupied or empty. We tested it under different lighting conditions, angles, and environments — and the results were fast and accurate. This is not just another tech demo. It's a real-world solution that moves us closer to smart cities, better traffic management, and sustainable urban living. Imagine a city where your car tells you exactly where to park, and you do it in under a minute. This project makes that vision real. And it's just the beginning.