Analyze Data in Kibana

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Hi,

I’m using Jetson, and send data to kafka and read this information in Kibana. How transform data to structured? using grok?, and what grok pattern you recommend to this output data:

{
“messageid” : “ba9504b8-2495-42e8-8a45-a48681150adf”,
“mdsversion” : “1.0”,
“@timestamp” : “2020-01-30T00:24:36.189Z”,
“place” : null,
“sensor” : {
“id” : “CAMERA_ID”,
“type” : “Camera”,
“description” : “”,
“location” : {
“lat” : 2.7058003343099092e-312,
“lon” : 3.9525251667299724e-323,
“alt” : 3.9525251667299724e-323
},
“coordinate” : {
“x” : 1.8189289994564626e-312,
“y” : 1.8189475801191704e-312,
“z” : 1.8189475801191704e-312
}
},
“analyticsModule” : null,
“object” : {
“id” : “821”,
“speed” : 0.0,
“direction” : 0.0,
“orientation” : 0.0,
“Car” : {
},
“bbox” : {
“topleftx” : 1587,
“toplefty” : 482,
“bottomrightx” : 1750,
“bottomrighty” : 546
},
“location” : {
“lat” : 0.0,
“lon” : 0.0,
“alt” : 0.0
},
“coordinate” : {
“x” : 0.0,
“y” : 0.0,
“z” : 0.0
}
},
“event” : {
“id” : “1549e317-68a2-404d-aa58-b51da66723ed”,
“type” : “entry”
},
“videoPath” : “”
}

And other question, how i modify CAMERA_ID for the real name of the camera?

2

Hi,

Please check the /dev/video* for the CAMERA_ID information.
Ex. if your camera is mount on ‘/dev/video0’, then CAMERA_ID = 0.

For the data interpretation, please check this document:
https://docs.nvidia.com/metropolis/deepstream/dev-guide/DeepStream%20Development%20Guide/baggage/structNvDsEventMsgMeta.html

Thanks.

3

To create a new Kibana visualization, select Visualize in the menu on the left, click the + icon and then select the visualization you want to create. You are then presented with a choice — either create the new visualization on one of the indices you have in Elasticsearch or a saved search.
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4

To create a new Kibana visualization, select Visualize in the menu on the left, click the + icon and then select the visualization you want to create. You are then presented with a choice — either create the new visualization on one of the indices you have in Elasticsearch or a saved search.