Below are some examples of where computer vision and OBS can be combined to make some interesting applications. While inherently this won’t make you into a successful streamer, it might empower you to build something you otherwise thought impossible. So instead of buying a stream deck or powerpoint remote, what if you could train an AI to help you control OBS? Well, good news, by using Roboflow.js and the OBS Websocket, we can use gestures to control the scenes and sources of OBS. Specifically those who are streaming in open environments or those who are physically impaired. While this solution works for a lot of the top streamers, it doesn’t fulfill the needs of everyone. Sometimes controlling OBS can be difficult, and there are various stream decks and gadgets you can buy to solve the headache of managing your OBS environment. Video walkthrough of using computer vision to control OBS Studio Why Use Computer Vision to Control OBS? This is especially exciting when you combine that level of control with a machine learning model. The OBS websocket allows for external applications to securely connect with OBS and control various features of the platform. One of those features we will be highlighting today is called the “ OBS Websocket” which allows you to control OBS via websocket communication. It has tons of features that make streaming not only possible, but cutting edge. OBS is powerful and has been built on for over a decade. Stream to Twitch, YouTube and many other providers all in one platform. Open Broadcaster Software (OBS) is free and open source software for video recording and live streaming. Use a computer vision model in your web browser that controls OBS Studio Introducing OBS and OBS Websockets
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