Haifa Uni

airsoft

Object Detection

1

airsoft Computer Vision Project

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Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

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 2024-04-30 },
                            }
                        

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Source

Haifa Uni

Last Updated

8 months ago

Project Type

Object Detection

Subject

humans

Views: 79

Views in previous 30 days: 0

Downloads: 10

Downloads in previous 30 days: 0

License

Public Domain

Classes

Black Team assaulter blue - team2 glasses helmet player not recognized red -team 1 surrender team 1 team 2 weapon

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