Thought I would start a new thread so not to plug up the bot thread. I am getting these results running these settings on my demo.
BI6 new built in AI beta 6.0.1.0
- Thread starter Tinman
- Start date
Thought I would try it quick on my main BI, after many attempts and restarts, I never could get it to work with my GPU Nvidia RTX A2000, it just would always return nothing found. I then just tried "NO GPU" and I did manage to get it to detect, but terrible time.
NO GPU:
Back to 6.0.0.1 and using GPU:
NO GPU:
Back to 6.0.0.1 and using GPU:
MikeLud1
IPCT Contributor
The issue is the JSON format from v6.0.1, the api is just objects, not alpr. This is something that Ken will need to fix because @algertc’s alpr database app only recognizes the api alpr or @algertc’s needs to look for the label plate and use this for the plate.
v6.0.1
JSON:
LPR.20251217_211126Z.253663.3-5.dat
[
{
"api":"objects",
"found":{
"success":true,
"error":null,
"message":"",
"predictions":[
{
"category":"vehicle",
"label":"truck",
"confidence":0.802895486354828,
"x_min":5,
"x_max":1335,
"y_min":1,
"y_max":787,
"plate":"XMW6099"}
,
{
"category":"vehicle",
"label":"XMW6099",
"confidence":0.964644551277161,
"x_min":1167,
"x_max":1277,
"y_min":504,
"y_max":578}
,
{
"category":"vehicle",
"label":"car",
"confidence":0.787121057510376,
"x_min":966,
"x_max":1917,
"y_min":168,
"y_max":912,
"plate":"XMW6099"}
,
{
"category":"vehicle",
"label":"XMW6099",
"confidence":0.95627498626709,
"x_min":1165,
"x_max":1275,
"y_min":502,
"y_max":580}
]
,
"count":4,
"moduleId":"",
"executionProvider":"ONNXRunTime",
"analysisRoundTripMs":1244}
}
]My ALPR
JSON:
T+300 msec [22430 msec]
[
{
"api":"objects",
"found":{
"message":"Found car,
car",
"count":2,
"predictions":[
{
"label":"car",
"confidence":0.9540823,
"y_min":190,
"x_min":410,
"y_max":923,
"x_max":1918}
,
{
"label":"car",
"confidence":0.8068814,
"y_min":1,
"x_min":2,
"y_max":770,
"x_max":1384}
]
,
"inferenceDevice":"GPU:0",
"inferenceMs":2124,
"processMs":2124,
"analysisRoundTripMs":6736,
"success":true,
"moduleName":"ObjectDetectionYOLO11Net",
"moduleId":"ObjectDetectionYOLO11Net",
"command":"detect",
"requestId":"b5fd2c86-7beb-4f53-b532-b468a36f2d4c",
"processedBy":"localhost",
"timestampUTC":"Wed,
17 Dec 2025 21:13:58 GMT"}
}
,
{
"api":"alpr",
"found":{
"message":"Found 1 license plate(s): LP4634",
"count":1,
"predictions":[
{
"confidence":0.9014773,
"is_day_plate":true,
"label":"LP4634",
"plate":"LP4634",
"x_min":563,
"y_min":474,
"x_max":706,
"y_max":580,
"top_plates":[
{
"plate":"LP74634",
"confidence":0.9014773}
]
,
"corners":[
[
589.8317,
494.9086]
,
[
687.16003,
503.5963]
,
[
681.8087,
557.60144]
,
[
584.1287,
547.7939]
]
,
"track_id":4103,
"speed_mph":18.143211,
"tracking_frames":1}
]
,
"inferenceDevice":"GPU:0",
"inferenceMs":288,
"processMs":506,
"analysisRoundTripMs":526,
"success":true,
"moduleName":"ALPRYOLO11NET",
"moduleId":"ALPRYOLO11NET",
"command":"alpr",
"requestId":"2ad0bb71-790a-48ff-b82c-458cc87f7d8c",
"processedBy":"localhost",
"timestampUTC":"Wed,
17 Dec 2025 21:13:58 GMT"}
}
]
Last edited:
Vettester
Known around here
- Feb 5, 2017
- 1,067
- 1,065
I sent an email to Ken and he found the issue. He said it will likely be fixed in the next release (6.0.1.2).
I've installed v 6.0.1.2 and can't analyse dat files anymore. I get an error:
this seems to be related to the dat file itself, as I can analyse v6.0.0.1 dat files correctly.
Furthermore, is there a way to fine-tune ALPR with parameters like MikeLud's module with the internal ALPR? I was able to achieve very good results with CPAI module only after some fine tuning.
Also, parameter &PLATE in alert actions is empty, even if the plate has been found.
thank you!
this seems to be related to the dat file itself, as I can analyse v6.0.0.1 dat files correctly.
Furthermore, is there a way to fine-tune ALPR with parameters like MikeLud's module with the internal ALPR? I was able to achieve very good results with CPAI module only after some fine tuning.
Also, parameter &PLATE in alert actions is empty, even if the plate has been found.
thank you!
Last edited: