Algorithm Introduction:
This algorithm is designed to detect electric bicycles in surveillance footage to prevent them from entering elevators.
It triggers an alarm when an electric bicycle is detected entering an elevator.
Algorithm Application:
Suitable for elevator monitoring in residential communities, shopping malls, office buildings,
and other locations to ensure safe elevator use and prevent safety hazards caused by electric bicycles.
Algorithm Advantages:
Strong Adaptability: The model has been trained on a large dataset, enabling it to function reliably in various indoor environments and lighting conditions. It is suitable for different types of elevators and building environments.
High Detection Stability: By integrating advanced image processing and recognition technology, the algorithm can accurately detect electric bicycles even when partially obscured, enhancing the reliability of the monitoring system.
High Detection Accuracy: The algorithm can effectively distinguish electric bicycles from other objects and accurately identify different models and appearances of electric bicycles.
Real-time Alarm: When an electric bicycle is detected entering an elevator, the system can quickly trigger an alarm to alert relevant personnel to take action and ensure safety.
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