You could determine a detection mask For each and every digital camera to help keep attainable detections in these masked parts from triggering alerts. This is very practical and a very good Option if the AI detection retains discovering Untrue objects in one space.
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e. 'Aux_7' And do not transfer the cursor for 1-2s, you should be able to alter the shown name) and afterwards create a new folder during the Blue Iris main directory. We could name this folder such as "aiinput". We will furthermore Restrict the folder measurement to p.e. 5Gb or established a cut-off date, to ensure previous images are routinely removed.
If all the things operates fantastic You then now have decreased your Phony detection amount appreciably when enhancing the speed of suitable detections.
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I am no qualified but the moments shouldn't be that drastic of the distinction (i.e.: sixty ms vs 11700ms). From what I keep in mind looking through it may be as you are using a substantial design and it should swap memory (so initial portion is brief and 2nd aspect is lengthier). I feel there was another reason but won't be able to remember at the moment.
I'm utilizing 640x480 pictures, they're about 200kb and have a 2nd or significantly less to approach. You don't need to do the full HD image for recognition, when you configure BlueIris as documented during the task wiki You need to use the SD substream feed to generate the pictures and afterwards induce an HD feed for AI Tools Directory recording when motion is detected.
sebastiantombs stated: @kaltertod If you employ sub streams with your cameras you could shut of hardware acceleration to the GPU and Slice CPU utilization significantly. That can even free up GPU memory for AI processing. Click on to grow...
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Now you may chose concerning two kinds of configuration. The suggested setup will get motion detection alerts from a camera in Blue Iris and give them a flag in Blue Iris, if some thing was detected utilizing AI.