lanyard Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Construction Site Safety: The model could be used to enhance safety measures at construction sites. It could automatically identify workers without safety vests, or those equipped with the necessary pully and rope systems, thus ensuring they are following safety protocols.
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Industrial Inspections: In an industrial setting, where specific equipment (like vests and ropes) are mandatory for certain tasks, this model can be beneficial for compliance inspections and automate the process of determining if employees are properly equipped.
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Outdoor Activity Monitoring: This model might be useful in monitoring and ensuring safety practices during outdoor activities such as rock climbing or bungee jumping. It can be used to identify whether the participants are wearing the appropriate safety gears (vest and rope).
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Training and Education: The "lanyard" model could be used in training sessions for various jobs and recreational activities. The model could help identify when a trainee is properly suited in their gear, thereby facilitating more effective learning.
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Rescue Missions: During emergencies or rescue missions, where time is of the essence, the model could quickly identify people outfitted with rescue gears, helping to streamline coordination efforts making the missions more efficient and effective.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lanyard_dataset,
title = { lanyard Dataset },
type = { Open Source Dataset },
author = { Jayanth R },
howpublished = { \url{ https://universe.roboflow.com/jayanth-r-dzuji/lanyard } },
url = { https://universe.roboflow.com/jayanth-r-dzuji/lanyard },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-22 },
}