Blue Iris Version 6 License Plate Custom Model

MikeLud1

IPCT Contributor
Apr 5, 2017
2,735
4,837
Brooklyn, NY
After using the built-in ALPR I found the model used to detect the license plate did not perform well at night. I trained a new plates.onnx model that performs well now during the day and at night. Below is the link to the new model. To use the new model save the model in folder C:\BlueIris\AI\models. Then after saving the model restart Blue Iris service.

Recommended min confidence setting
Day 80%
Night 85%

 
Thanks @MikeLud1 this is great! Should I use To confirm: DayPlate,NightPlate for this model like I was doing with your old YOLOv5 license-plate.onnx model?

Also, is this new model now included with BI's downloadable models? I went to copy it into my C:\BlueIris\AI\models directory and there was already a plates.onnx there that I overwrote.
 
Should I use To confirm: DayPlate,NightPlate for this model like I was doing with your old YOLOv5 license-plate.onnx model?
No, for a dedicated license plate camera the To confirm should be blank
Also, is this new model now included with BI's downloadable models?
No, I am going to let Ken know about this model so he can include it. The model that is include does not perform well at night
 
Thank you. This is a dedicated LPR with a narrow FOV, so I will give that a try! If I want that camera to only use your new plates.onnx model, how do I exclude the others?

Ken said the "Primary object detection" checkbox should be unchecked in this case:
"The only time you don't want it checked is if you are strictly looking for faces or plates, too zoomed-in to find people or cars."
I didn't know what that option was for, and it's not explained anywhere in the help file, so I had to ask.
 
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Thank you. This is a dedicated LPR with a narrow FOV, so I will give that a try! If I want that camera to only use your new plates.onnx model, how do I exclude the others?

Ken said the "Primary object detection" checkbox should be unchecked in this case:

I didn't know what that option was for, and it's not explained anywhere in the help file, so I had to ask.
Set it like the below

1767126380091.png
 
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