Best Practice to Show AI Output on Nx Client
AnsweredGreetings,
As we are amazed by Nx as we can see various media, stream, camera via the Nx Client; We want to take the case further as in our case we have our own AI Computer Vision pipeline (that can take input such as rtsp and various media as well and we can output our own metadata and annotated frame as well) We'd like to utilize the Nx Client as our viewer for the AI CV output. We noticed that there are a lot of AI products that has been integrated or collaborated with Nx such that Nx provides their AI viewer. We'd like to know what's the best practice to do this, what format is the best practice, what format that most of the AI products provide to the Nx, and what's the best way to integrate our output to Nx.
Thank you and we hope for the support as we continue to learn on how to integrate with Nx.
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Thanks for your inquiries and it is glad that you would like to use Nx as part of your solution. In general, you are able to use the Nx Toolkit to interact with the mediaserver and desktop client.
You can start with the documents or articles available listed below.
- Nx Meta : Overall starting point for the developers and partners.
-The interactive architecture layout
- Online VMS API documentation
- Integration capabilities and what to expect
You can also check out other github projects we have including examples for JS API based dashboards and client open source code: https://github.com/networkoptix/
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