Nighttime person detection

#1

Hi,

I am using DeepStackAi with Blue Iris (a video security software).

I have configured it with a test camera.
The camera I use is one that has quiet good night vision (IPC-HDW5231R-Z).
I am only identifying persons in the generated pictures (-e VISION-DETECTION=True in the docker command). I am using the CPU version.

Day time detection seems to work as it should. I did not get any false alerts during my testing.
Nighttime is very different - it doesn’t detect any persons at all.

I am pretty sure all is configured OK since day time works without any issues but not sure why it doesn’t detect at night.
I can try and tweak the night time picture - more contrast and such.
But I am wondering if there is a better way? Like to “train” the model by feeding it some of the nighttime pictured generated by Blue Iris?

#2

Hello @MnM, thanks for bringing this up.
You can run DeepStack in high accuracy model by adding -e MODE=HIgh . This would run slower but would detect better.

Also, can you share sample images from the test camera, so we can investigate this better?

#3

@john are there object detection models trained on images from night vision (IR cameras like the IPC-HDW5231R-Z)? I am also interested in true thermal imaging (FLIR) cameras

#4

@robmarkcole, deepstack supports detection at night. Below are two sample night images i just tried with DeepStack.
night-image2

night-image1
night-image1.jpg960×628 58.6 KB

On thermal images, datasets are highly limited in that domain, however, it is something we shall still work on.

#5

I expect the pictures that @MnM are not of such high resolution and contrast as these example images, but it is very interesting that a silhouette works so well! Suggests that some pre-processing of the IR images might improve accuracy, perhaps by applying thresholding?

#6

My issue turned out to be Blue Iris related in the end.
Nighttime persons are detected fine by Deepstack.