Smart Driver Assistant

Object Detection

Roboflow Universe datasets Smart Driver Assistant

Smart Driver Assistant Computer Vision Project

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Here are a few use cases for this project:

  1. Accident Prevention: "Smart Driver Assistant" can be used to identify if a vehicle deviates from its lane which can potentially help to prevent accidents and enhance safety on roads.

  2. Advanced Driver-Assistance Systems (ADAS): It can be incorporated in the ADAS of modern vehicles, notifying the driver in case of any lane departure to reduce human error.

  3. Predictive Maintenance: This model can be used in monitoring the car's driving patterns, detecting unexpected lane-departure, and attributing it to potential vehicle malfunctions, helping to schedule appropriate maintenance.

  4. Driving Behavior Analysis: Insurance companies could use it to analyze driving behavior for personalized insurance policies based on risk factors, such as repeated lane-departure incidents.

  5. Autonomous Vehicles: The model can be an integral part of self-driving car technology to efficiently manage lane departures and drives in reverse, improving their reliability and safety.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

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

@misc{ smart-driver-assistant_dataset,
    title = { Smart Driver Assistant Dataset },
    type = { Open Source Dataset },
    author = { datasets },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-11-29 },

Find utilities and guides to help you start using the Smart Driver Assistant project in your project.



Last Updated

9 months ago

Project Type

Object Detection




reverse, vehicle

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CC BY 4.0

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