plaka Computer Vision Project

Here are a few use cases for this project:

1. Traffic Monitoring and Management: By employing the "plaka" model to identify plaka (license plates) and araba (cars), traffic authorities can monitor traffic flow in real-time, enabling smart routing and traffic management solutions to minimize congestion and improve overall efficiency of the road network.

2. Parking Management: Automatic identification of license plates and cars can help in streamlining parking management systems by automating the check-in/check-out process, monitoring parking space availability, and ensuring compliance with permit rules in restricted parking zones.

3. Tracking Stolen Vehicles and Law Enforcement: The "plaka" model can assist law enforcement agencies by detecting stolen vehicles based on the license plate information, aiding in vehicle recovery and identification of potential car theft suspects. Additionally, this can enable traffic police to identify vehicles violating traffic rules and regulations.

4. Vehicle Safety Compliance: By identifying and recognizing cars and their associated license plates, the "plaka" model can help authorities monitor vehicle safety compliance in regulated zones (e.g., emission limits or safety inspection requirements) and enforce appropriate penalties for non-compliant vehicles.

5. Transportation Analytics: The "plaka" model can be used for gathering detailed transportation data, including vehicle type and license plate information, which can be analyzed for various research purposes, such as understanding transportation patterns in urban areas or determining the effectiveness of public transit systems.