airsoft Computer Vision Project
Updated a year ago
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Metrics
Here are a few use cases for this project:
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Referee Decision Support: In organized airsoft matches, it's critical for referees to be able to correctly identify player actions. The computer vision model can assist in identifying whether correct safety gear is worn (helmets, glasses), which player belongs to which team (based on the color of their uniform), and to differentiate between recognized and unrecognized players for registering scores or penalties.
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Live Streaming and Commentary: During live streaming of airsoft games, this model could be used in real-time to provide viewers with additional information about the players such as their team affiliation or whether they followed the rules properly. It can also track a players' weapon for analytical commentary.
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Player Tracking and Scoring: An automatic system can be developed to track the players' movements, identify when a player is hit, and accordingly, adjust scores. The model can identify instances where an unrecognized player enters the match, ensuring all participants are registered and authorized.
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Training and Strategy Analysis: This computer vision model can analyze players' strategies in practice games or completed matches. Coaches can use the analyzed data to plan and execute game strategies based on player positioning, weapon usage, and team dynamics.
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Safety Compliance: Beyond game applications, this model can be utilized to ensure safety protocols are followed during games. It can identify if helmets and glasses are worn correctly by the players and if any unauthorized entrance occurs in the game area.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
airsoft_dataset,
title = { airsoft Dataset },
type = { Open Source Dataset },
author = { Haifa Uni },
howpublished = { \url{ https://universe.roboflow.com/haifa-uni/airsoft } },
url = { https://universe.roboflow.com/haifa-uni/airsoft },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-21 },
}