Junction Detection 1 Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Traffic Management System: Using the "Junction Detection 1" model, we can construct systems that monitor and control traffic in real-time at junctions. This can involve lead vehicle detection, queue length measurement, and optimized signal control.
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Smart City Infrastructure: The model can be used in building smart city solutions, such as adaptive streetlight systems. For example, when no cars or motorcycles are detected on the streets, the lights could be dimmed to save energy.
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Autonomous Vehicle Development: The model could be helpful in improving various aspects of self-driving vehicles, such as junction navigation, vehicle-to-vehicle communication, traffic rule compliance, and decision-making processes at junctions.
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Traffic Violation Detection: Authorities can use the model to automate the identification of illegal activities at junctions, such as wrong entries, over-speeding vehicles, and non-compliant turns.
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Road Safety Analysis: By leveraging the model, road safety experts can identify high-risk junctions with heavy traffic or frequent violations. This data can be used for strategic road improvements and safety campaigns.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
junction-detection-1_dataset,
title = { Junction Detection 1 Dataset },
type = { Open Source Dataset },
author = { Quah Jin Xing },
howpublished = { \url{ https://universe.roboflow.com/quah-jin-xing/junction-detection-1 } },
url = { https://universe.roboflow.com/quah-jin-xing/junction-detection-1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-11-21 },
}