1. Background
In recent years, the number of motor vehicles in China has increased rapidly. During holidays and peak hours, parking lots in shopping malls and public areas often face extreme congestion, making it difficult for drivers to find available parking spaces.
To improve parking efficiency and user experience, the construction of smart parking guidance systems has become essential.
The core of a parking guidance system lies in accurately detecting which parking spaces are occupied or available.
For indoor parking lots, low-cost infrared sensors can be easily installed.
However, for outdoor parking areas, traditional systems face major challenges such as power supply, communication, and wiring limitations — making installation expensive and complex.
Currently, most outdoor parking systems use wireless geomagnetic detectors, but they come with high costs and construction challenges.
Each unit costs around ¥800 (≈USD 110) including:
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Hardware (~¥700 per unit)
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Network service fees (~¥100 for 5 years)
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Installation (~¥50–100 per unit)
These costs make large-scale deployment difficult, especially since ground excavation and maintenance are required.
2. Product Overview and Workflow
Product Overview
The Fuwee AI Video-based Parking Space Detection System uses advanced machine vision and artificial intelligence technologies to simulate human visual analysis.
By processing live video streams, it can automatically locate each parking space, determine whether it is occupied or vacant, and generate real-time statistics.
Unlike traditional detection systems, this non-contact video solution:
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Requires no ground damage or wiring
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Offers simple installation and low maintenance
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Provides video storage for historical review and traceability
Workflow
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Cameras continuously upload live video streams to the server-side software.
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The software automatically analyzes each video feed in real time, identifying each space’s status (occupied or free).
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The system aggregates the number of available parking spaces and can output data to digital displays or other connected systems.
A single software instance can connect to multiple cameras simultaneously for flexible deployment.
3. System Functions and Technical Parameters
Key Features:
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Real-time monitoring and detection
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Supports multiple camera inputs
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No hardware modification or ground installation required
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Historical data storage for playback and verification
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Simple configuration and remote management
Technical Specifications:
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Recognition Accuracy: 99.9% (over 95% at night)
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Detection Frequency: Every 2 seconds (configurable)
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Single Camera Coverage: Up to 30 parking spaces, depending on installation height and field of view
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Pixel Requirement: Each vehicle must occupy at least 50 horizontal pixels for accurate detection
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Server Capability: Supports 4–30 video channels per computer (depending on hardware configuration)
4. Advantages
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Low Cost: Uses existing surveillance infrastructure
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Easy Installation: No need for ground sensors or wiring
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High Accuracy: Stable detection even in complex lighting environments
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Scalable Architecture: Supports expansion for large parking areas
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Data Integration: Compatible with display systems and smart city platforms
5. Application Scenarios
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Outdoor parking lots in malls, office parks, residential areas
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Public parking zones near transportation hubs
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Smart city traffic management systems
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Industrial parks and enterprise facilities