Mac-A-Park is a real-time smart parking detection system that leverages existing CCTV cameras and computer vision to detect parking slot occupancy. It provides a low-cost, scalable solution for urban areas and large parking facilities, reducing traffic congestion, emissions, and driver frustration.

In urban areas and large parking facilities, drivers spend significant time searching for available parking spots, which leads to:

• Increased traffic congestion
• Fuel wastage
• User frustration
• Higher carbon emissions

Most existing solutions rely on physical sensors for each parking spot, which are expensive, difficult to maintain, and impractical at scale.

Mac-A-Park analyzes CCTV video feeds using OpenCV and a deep learning object detection model to determine parking slot occupancy.

• Detected availability is updated in real-time.
• Users can instantly locate free parking spots via a simple dashboard.

Advantages:

✅ Uses Existing Infrastructure – no additional sensors required
✅ Cost-Effective & Scalable – reduces hardware and maintenance costs
✅ Real-Time & Accurate – slot-based detection reduces errors
✅ Hackathon-Friendly & Real-World Ready – fast prototyping, mirrors real smart city deployments