Golongan Truk Computer Vision Project

Tugas Akhir

Updated 2 years ago

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Classes (2)
Truk_Gol2_Bak
Truk_Gol2_Box
Description

Here are a few use cases for this project:

  1. Traffic Management: Utilize the "Golongan Truk" model to analyze and classify trucks at toll stations, ensuring accurate categorization and efficient toll pricing based on truck classes.

  2. Fleet Management: Assist logistics companies or truck owners in monitoring and managing their vehicle fleet by accurately identifying truck types and classifications, enabling better scheduling, maintenance planning, and overall operational efficiency.

  3. Urban Planning: Support city planning departments in assessing patterns of truck traffic, including the types of trucks and their frequency on particular routes, aiding in the design of traffic infrastructure and zoning plans that mitigate congestion and environmental impacts.

  4. Insurance and Compliance: Enable insurance companies, regulators, and law enforcement agencies to verify truck classifications and ensure that trucks are operating within the appropriate regulations and safety standards.

  5. Advanced Driver Assistance Systems (ADAS): Integrate the "Golongan Truk" model into ADAS technology for vehicles on the road, allowing these systems to recognize and respond correctly to different truck classes, enhancing overall road safety and awareness for drivers.

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{
                            golongan-truk_dataset,
                            title = { Golongan Truk Dataset },
                            type = { Open Source Dataset },
                            author = { Tugas Akhir },
                            howpublished = { \url{ https://universe.roboflow.com/tugas-akhir-khca3/golongan-truk } },
                            url = { https://universe.roboflow.com/tugas-akhir-khca3/golongan-truk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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