perlintasansebidang_dataset Computer Vision Project

Here are a few use cases for this project:

1. Traffic Monitoring and Management Systems: The model can be used in real-time traffic monitoring systems for recognizing different types of vehicles and barriers, enabling efficient traffic control and management at perlintasan sebidang, or level crossings.

2. Traffic Violation Detection: Authorities can use the model to detect traffic violations at level crossings. For instance, identify vehicles trespassing when the barrier is down, people getting too close to the train tracks, etc.

3. Vehicle Classification Systems: The model can be utilized to classify different types of vehicles at level crossings for statistical purposes, predictive traffic models, or toll systems.

4. Safety Enhancements: The model can be integrated with warning systems at level crossings to notify when a train is approaching, hence improving safety for vehicles and pedestrians.

5. Traffic Congestion Prediction: By identifying type and quantity of vehicles at certain times, the model can aid in forecasting traffic congestion at level crossings allowing early warnings and swift response.