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Does anyone use ONVIF events of the PIR motion detection in Blue Iris? I can't seem to get mine working (EZVIZ DB1 with the latest Hikvision Firmware). BlueIris populates all the ONVIF info. I've got the appropriate trigger checkbox enabled: I've got Alerts set up to allow ONVIF: But...

I know this has been mentioned before but I couldn't find a solution via search. "Zooming" problem with BlueIris Whenever my EZVIZ DB1 has a trigger event in itself, BlueIris zooms in the image to like the top quarter of the image. Resetting the camera will resolve it, but it will just happen...

It's a Galaxy Note 9 (it's filmed at 60fps)

But are the vehicles in different parts of the image for coming or going in the alert jpegs? I bet that would be enough...one at the top of the driveway and one at the foot of the driveway.

Because of the way BlueIris takes an alert image when I'm coming and going are different, that way the AI is able to tell the difference

So, I have a resident raccoon and skunk that keep visiting my backyard, and sometimes dig up trying to get under my deck. What to do? Train an AI to recognize skunks and raccoons and shoot lasers at them of course! Well, blast them with Christmas lasers anyway... I'm hoping that will be...

Interesting. The DS118j doesn't seem to be available in Canada anymore, but the DS119j is available, and certainly cost effective. I just used the PI to run object detection on a neural net to only get alerts about people (when their phones are away from home)... That wouldn't be possible at...

I'm trying to set up a low resource intensive 2-camera setup at my inlaws where they could access recorded footage via iOS. I am a Blue-Iris user however, I feel that it overkill here and would require me to purchase a PC. Currently the 2 Dahua cameras I have, record motion to a micro SD card...

It should also help with sun glare!

The design has since been updated to have a larger lip and better located holes for mounting.

Hey guys, Check this out! While I know typically it's probably best to use a bullet cam in an uncovered horizontal mounting location... I had a good samaritan design this for me from a Facebook group (My CAD skills are brutal) 3D printed in PETG Plastic which is very weather resistant (I have...

If the community would like I can make this for you, the only requirement is Python needs to be installed on your windows machine... It's quite easy to do and I've had good results with it detecting people and cars, dogs, cats, boats, etc, to make relevant web requests. It uses the Yolo V3...

So here is my example. This is a function, so you can paste it in your existing file, and call it by automl_tensorflowlite(variables here) and it will return the labels back. It also has a function to avoid duplicate responses of the same thing back-to-back. In AutoML I made a label called...

Yes I do, I'll post it here on Monday when I'm back at the office. I've also got custom object detection working, with a model I've trained myself. It's a bit more time consuming because you have to use an app to draw boxes around each object in every image (it took me a good 20 minutes of...

Yes, in fact I've created a script that uses the Darknet YoloV3 trained model to detect objects in alert images. It's super fast (doesn't require to keep running like AI Tool, and classifies in a few milliseconds). It can detect people, cars and a bunch of other things. For me it's useful for...

Idea...as I am working on my own python script to do generic people and vehicle detection that works with minimal requirements and half-second responses from the Yolo v3 model. What about storing the coordinates of the car(s) in the image, to compare it to the last alert image. This is to...

So some results: 1) Creating a tensorflow model that can detect two categories such as : "No Person" and "Person" work well on a locally trained machine. Could probably do the same for "Vehicle" "No Vehicle". 2) Creating a model that can detect multiple categories such as: "Bob's Car"...

No you don't require an nvidia gpu for training, it's just slower from what I understand with only your CPU. You can also still use Google AutoML for training a model to download as well. I'm trying to figure out the best settings for training as I am not having the same accuracy with my own...

I figured out how to do the first round of predictions completely without a cloud service, using Tensorflow on Windows in Python. It's not a complicated setup at all. Why no one has made a GUI for this type of use-case is beyond me... You do require an Nvidia Graphics Card (a fairly modern one...

On second note, do not do more than 10 model trainings a month. 10 are included. After you start training more than 10 the cost adds up significantly. I'm going to figure out how to use the offline version of Tensorflow.

I have done at least 9 model trainings, and made probably 300 calls to the api. I feel like I'd have to hit several thousand before having any cost, and even then it would probably be cents.

I have posted it on mattkri/BlueIris-SmartDetection I've tried to comment the heck out of it for it to make sense. It's designed particularly for me, but hopefully it's useful to other people.

Again bringing this back from the dead lol I've further updated my script, as like JRF I also use this with Smartthings and Webcore I wanted to use Google's AutoML Vision machine learning to teach it common alert images that it sees, namely: - My car and my wife's car "arriving" (BI almost...

Yes BlueIris would give lots of false alarms, but at least then you have a secondary filter to make sense of the false alarms. The downside is that you could only use tensor flow or another computer vision for custom alerts, not part of BlueIris's recording system....so within BlueIris you'd...

I would probably use BlueIris's built in motion detection with a secondary pass thru your setup to determine if there is truly anything different in the scene, it would be less overhead on the cpu. I guess it would depend on what your scenario is. A front door or driveway would be applicable but...

Oh very cool! Did you train data yourself for specific recognition? Or are you just using a public model for object identification? Have you looked into YOLO v2? It's probably a faster implementation of object recognition and there is a version that works with Tensorflow. It can readily be used...

I've updated the OP. I think I've removed all the personally identifying stuff and it's coded horribly bad with no global variables...I apologize. I'm not a coder! The way I program is that I run it 100 times until there are no errors lol.

Sorry I've not been back to this thread in a while, it seemed dead for a while after I posted it. I also forgot to update the code because there are errors in it as others pointed out. I can post it here if anyone still wants it. I've done some things like image cropping (to avoid catching the...

I'd love to do this locally, I don't have much experience with tensorflow, for me with my limited coding knowledge I just threw something together with an API. My dream set up would have a web interface where you could train snapshots to assign to people or particular vehicles. Then it could...

Hey Everyone, Updated July 18, 2019 TL;DR: I wrote several python scripts that can detect the make and model of a car in the driveway. I used both Machine Learning through Google's easy to use AutoML Image Classification and Sighthound's API for vehicle make and model detection. Both also...