AI Racist Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Intelligent Traffic Management: Use AI Racist to analyze traffic signals in real-time and optimize traffic flow in urban centers, by detecting the various light phases (stage, go, pre, nogo) and adjusting signal timings dynamically.
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Advanced Driver Assistance Systems (ADAS): Integrate AI Racist into vehicle safety systems to improve driver awareness and help avoid accidents by detecting traffic signal statuses and potentially alerting drivers when it's time to stop, slow down, or proceed with caution.
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Accessibility for Visually Impaired: Develop mobility aids for visually impaired individuals using AI Racist, which can provide information about traffic lights in their vicinity, including the current phase of the signal, enabling a safe and accessible navigation experience.
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Monitoring and Maintenance Systems for Traffic Lights: Create a tool for city authorities to monitor and assess the operational status of traffic signals in real-time, providing insights to prioritize maintenance and replacement schedules, thereby enhancing public safety and infrastructure efficiency.
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Post-Accident Analysis: Utilize AI Racist to analyze traffic signal conditions at the time of road accidents, retrieving valuable data for post-accident investigations and potentially contributing to the development of more effective road safety policies and infrastructure designs.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ai-racist_dataset,
title = { AI Racist Dataset },
type = { Open Source Dataset },
author = { JHAGD },
howpublished = { \url{ https://universe.roboflow.com/jhagd/ai-racist } },
url = { https://universe.roboflow.com/jhagd/ai-racist },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-18 },
}