Difference between revisions of "Template:Modular Media Server/Main content"
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Modular Media Server was born from the need to have a system capable of processing multimedia content (i.e. camera input) and forwarding it to multiple functionalities such as network stream, file recording, live display, DL inference, among others. In this way, different modules can be incorporated or removed according to the user's request. | Modular Media Server was born from the need to have a system capable of processing multimedia content (i.e. camera input) and forwarding it to multiple functionalities such as network stream, file recording, live display, DL inference, among others. In this way, different modules can be incorporated or removed according to the user's request. | ||
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Revision as of 12:23, 24 May 2022
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Welcome to RidgeRun's Modular Media Server project |
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RidgeRun's Modular Media Server | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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RidgeRun has become one of the main companies with exclusive expertise in the development of multimedia solutions for embedded systems, using GStreamer as the main framework of development. Over the years, RidgeRun has created solutions based on GStreamer to manage multimedia, such as GStreamer Daemon. Modular Media Server was born from the need to have a system capable of processing multimedia content (i.e. camera input) and forwarding it to multiple functionalities such as network stream, file recording, live display, DL inference, among others. In this way, different modules can be incorporated or removed according to the user's request.
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RidgeRun support | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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RidgeRun provides support for embedded Linux development and Xilinx High-Level Synthesis, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators exposed to perform transformations on the video streams achieving great performance on complex processing and the massive parallelism offered by using FPGAs. This page contains detailed guides and information on how to get started with RidgeRun's Birds Eye View project and start using its full capabilities. To get up-to-speed with RidgeRun's Birds Eye View project in your platform, start by clicking below:
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