cars Computer Vision Project

public

Updated 3 years ago

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Description

Here are a few use cases for this project:

  1. Traffic Control and Surveillance: The "cars" model could be used in traffic control systems to identify and document car classes and license plates. This could aid in tracking and managing traffic flow, and also serve as evidence when traffic laws are violated.

  2. Automated Toll Booth: The model can be employed to automatically recognize car classes and read license plates at toll booths. This could streamline the toll paying process and eliminate the need for manual human intervention.

  3. Vehicle Theft Detection & Prevention: The model could be involved in Vehicle theft detection system in car parks or residential areas. By identifying the car class and plates, a system can flag any unusual activities and notify relevant authorities.

  4. Intelligent Parking Systems: The model could be applied in smart parking systems to manage available parking space efficiently. The recognition of car classes could allow these systems to provide adequate spacing for each vehicle type.

  5. Border Control: Border control authorities can use this model to validate and record vehicles crossing the country borders for security purposes. The system can quickly process car classes and license plates, making the clearance process smoother.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            cars-erumk_dataset,
                            title = { cars Dataset },
                            type = { Open Source Dataset },
                            author = { public },
                            howpublished = { \url{ https://universe.roboflow.com/public-akodg/cars-erumk } },
                            url = { https://universe.roboflow.com/public-akodg/cars-erumk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { sep },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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