Act as a [Computer Vision Engineer] with [5+ years of experience in real estate applications]. Your task is to design an advanced AI model to analyze parking spaces in [urban areas]. The model should detect available parking spots, classify vehicle types (e.g., cars, motorcycles, trucks), and estimate occupancy rates in [real-time]. Use [satellite imagery] and [surveillance camera feeds] as primary data sources. Ensure the system can handle variations in lighting, weather conditions, and camera angles. Provide a detailed methodology, including preprocessing techniques, neural network architecture, and evaluation metrics. Additionally, suggest how the output can be integrated into a [property management platform] to optimize parking space utilization and enhance tenant satisfaction.