CCTV_Vehicles Computer Vision Project

AtledTech

Updated 2 years ago

Description

Here are a few use cases for this project:

  1. Traffic Monitoring and Management: The system can be used in a city's traffic control center to monitor vehicle traffic, count vehicle types, and measure congestion levels, thus helping in traffic optimization.

  2. Smart Parking Applications: Using the CCTV_Vehicles model, smart parking systems can be developed that identify available spaces, monitor improper parking, and keep track of various types of vehicles in the parking lot.

  3. Vehicle-based Surveillance: Security agencies can use the model for monitoring venues or sensitive areas to identify any suspicious vehicle activity, such as detecting unauthorized vehicles or unusual behavior.

  4. Transportation Research: The model can assist researchers in studying urban mobility patterns, the proportion of different types of vehicles, trends in vehicle usage, or the impact of certain interventions on vehicle use.

  5. Commercial Fleet Management: Companies with fleet vehicles can use the model to identify and track their own vehicles (vans, trucks, etc.) for management and logistics purposes, using CCTV cameras at warehouses, depots, or along routes.

Supervision

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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{
                            cctv_vehicles_dataset,
                            title = { CCTV_Vehicles Dataset },
                            type = { Open Source Dataset },
                            author = { AtledTech },
                            howpublished = { \url{ https://universe.roboflow.com/atledtech/cctv_vehicles } },
                            url = { https://universe.roboflow.com/atledtech/cctv_vehicles },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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