705 fq Computer Vision Project
Updated a year ago
91
5
Metrics
Here are a few use cases for this project:
-
Traffic Monitoring Systems: The "705 fq" model can be used to classify vehicles and analyze traffic flow in real-time on highways. This data can help in creating intelligent traffic systems, which could reduce congestion and improve road safety.
-
Vehicle Classification in Toll Booths: The model can be implemented in toll booths to classify vehicle type for appropriate toll charges. It could recognize between cars, trucks, vans, buses and motorbikes to expedite the process and reduce human errors.
-
Advanced Driver Assistance Systems (ADAS): The model can be integrated into ADAS to improve car safety by recognizing other vehicles, traffic lights, and pedestrians. It would assist in functions such as adaptive cruise control, collision avoidance systems, or traffic sign recognition.
-
Urban Planning & Development: City planners could use the model analysis to better understand vehicle flow and human movement in various urban areas. This could then inform better infrastructural development to accommodate this traffic.
-
Security and Surveillance: The model can be used in security surveillance systems to detect any unusual activity, such as a person in a restricted area or identifying specific vehicle types in non-designated zones. It can thus serve as a critical component in intelligent surveillance systems.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
705-fq_dataset,
title = { 705 fq Dataset },
type = { Open Source Dataset },
author = { 705 },
howpublished = { \url{ https://universe.roboflow.com/705/705-fq } },
url = { https://universe.roboflow.com/705/705-fq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-21 },
}