CW_CCW_Stop_123_v1 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Gesture-Based Controls: This model can be used for creating a gesture recognition system in consumer electronics like TVs or video games. By simply moving their hands in specific movements, users can change channels, adjust volume, or switch off the device.
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Communication Aid for Disabled: People with speech/hearing impairments often rely on hand gestures for communication. This model can identify different hand gestures, thus helping in interpreting sign language.
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Aiding in Traffic Management: The model can be implemented in smart traffic management systems where hand signals of traffic police or pedestrians are recognized to manage vehicular movement effectively.
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Virtual Reality & Augmented Reality: The model can be used in developing intuitive VR/AR interfaces where users can interact with the digital world using natural hand movements. Commands like rotate, stop, or select could be controlled with hand gestures.
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Hands-Free Interface in Healthcare: In surgeries or procedures where sterility is important, this model can help practitioners control various medical devices just by using hand gestures without physical contact.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cw_ccw_stop_123_v1_dataset,
title = { CW_CCW_Stop_123_v1 Dataset },
type = { Open Source Dataset },
author = { SJdatasets },
howpublished = { \url{ https://universe.roboflow.com/sjdatasets/cw_ccw_stop_123_v1 } },
url = { https://universe.roboflow.com/sjdatasets/cw_ccw_stop_123_v1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-12-18 },
}