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OBS_Detection Computer Vision Project

Six1Five Studio

Updated 4 months ago

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Description

Project Overview:

The Real-Time Hand Recognition System with OBS is a computer vision project aimed at recognizing and interpreting hand gestures in real-time using video input from Open Broadcaster Software (OBS). This project leverages machine learning and computer vision techniques to enable interactive applications and enhance user experiences in various domains such as gaming, virtual reality, and remote communication.

Objectives:

Real-Time Gesture Recognition: Develop a system capable of detecting and classifying hand gestures in real-time using OBS as the video input source.
User Interaction: Enable intuitive and seamless interaction with digital interfaces through hand gestures, reducing the need for traditional input devices.
Accessibility: Provide an accessible solution for individuals with limited mobility, enhancing their ability to interact with technology.

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Cite This Project

LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            obs_detection_dataset,
                            title = { OBS_Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Six1Five Studio },
                            howpublished = { \url{ https://universe.roboflow.com/six1five-studio/obs_detection } },
                            url = { https://universe.roboflow.com/six1five-studio/obs_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { aug },
                            note = { visited on 2024-11-29 },
                            }