Heavy Vehicle Detection - NHAI Interns

Instance Segmentation

Heavy Vehicle Detection - NHAI Interns Computer Vision Project

SPCV LAB IITT 1

Updated 5 months ago

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Classes (18)
A-10-S-Tandem
A-10-TRIDEM
A-10-Tridem
A-13
AXLE
Axle
CLASS 10
TYPE 2-S2
TYPE-2
TYPE-2-S2
TYPE-3
Type 2
Type 2-S2
Type 3-S2
Type-2
Type-2-S2
Type-3
UC
Description

Here are a few use cases for this project:

  1. Road Traffic Management: The model can be employed by traffic monitoring systems to detect and classify heavy vehicles, helping in scenario analysis and management of vehicle flow on highways. It can help ease traffic congestion during busy hours by providing real-time inputs about heavy vehicle movements.

  2. Highway Toll Collection: The model can be integrated with automatic toll collection systems to classify vehicles and determine corresponding toll charges based on the type of heavy vehicle.

  3. Vehicle Size Regulation Enforcement: The model can be used by law enforcement or highway regulatory bodies to ensure compliance with vehicle size regulations. It can detect and classify vehicles exceeding certain size regulations for specific roads to ensure safety and maintain road conditions.

  4. Infrastructure Planning: Government bodies like the National Highways Authority of India (NHAI) can use this model for better infrastructure planning, by analyzing the frequency and types of heavy vehicles using certain routes.

  5. Fleet Management and Logistics: Logistic companies can use the model to track and manage their fleet of heavy vehicles, facilitating effective route planning and optimizing fuel consumption.

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{
                            heavy-vehicle-detection-nhai-interns_dataset,
                            title = { Heavy Vehicle Detection - NHAI Interns Dataset },
                            type = { Open Source Dataset },
                            author = { SPCV LAB IITT 1 },
                            howpublished = { \url{ https://universe.roboflow.com/spcv-lab-iitt-1-lqfoq/heavy-vehicle-detection-nhai-interns } },
                            url = { https://universe.roboflow.com/spcv-lab-iitt-1-lqfoq/heavy-vehicle-detection-nhai-interns },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-12-29 },
                            }