Label เอิร์น Computer Vision Project

Here are a few use cases for this project:

1. Traffic Monitoring and Management: The "Label เอิร์น" model can be used to count and classify vehicles on roads and highways, providing traffic authorities with real-time information to optimize traffic lights and lane management.

2. Smart Parking Solutions: This model can be applied in parking lot management to detect and classify vehicles entering and leaving parking lots. Based on a vehicle's dimensions, the system can suggest optimal parking spaces for better utilization.

3. Insurance Claims Validation: Insurance companies can use the "Label เอิร์น" model to identify the type of vehicles involved in accidents, helping adjusters verify claims and estimate the costs of damage more accurately.

4. Road Safety and Accident Analysis: By analyzing vehicle classes involved in accidents, the model can be used to inform urban planners about infrastructure improvements, such as dedicated lanes or traffic calming measures for specific vehicle types.

5. Autonomous Driving: The "Label เอิร์น" model can enhance autonomous driving systems by allowing them to recognize and react to different vehicle classes, improving overall navigation and collision-avoidance performance.