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Parking Space Occupancy Detector
EasyCV System Design
Design a computer vision system that monitors a parking lot and detects which spaces are occupied or available in real time.
Scenario: A shopping mall wants to install cameras overlooking its 500-space parking lot. Drivers should see a live map at the entrance showing available spots, and the system should track occupancy statistics over time.
Your Task: Design the pipeline from camera input to an occupancy map showing free and occupied spaces.
Your design should address:
- Defining parking space regions from the camera view
- Classifying each space as occupied or empty
- Handling weather, shadows, and nighttime conditions
- Updating the display in real time
Think about: Whether you need object detection or simple patch classification, how to handle perspective distortion, and how to keep the system robust across lighting changes.
Design Mode
📝 Your Design Approach
Describe your system design approach. Consider components, data flow, and key decisions.
🎯 Design Questions(Select all that apply)
Q1.Should parking space occupancy detection use object detection or patch classification?
Q2.How should the system handle perspective distortion from camera angles?
Q3.What approach best handles varying lighting conditions (day/night, shadows)?
Q4.How should the system detect partially occupied spaces (e.g., motorcycle in car space)?
0 of 4 questions answered