Hey guys, it's Tyler from Nelly's Security and today I have a story to share with you.
Once upon a time there was a security camera whose sole job was to watch over
a flock of sheep and alert the village of any threats. But there was only one problem.
This security camera relied on standard pixel-based motion detection and basic
video analytics. Night after night this security camera sounded its false alarms,
and night after night the village grew more and more deaf to its desperate cries. But then
one night the security camera caught a viscous wolf sneaking up on the sheep. The camera then
sent push notifications to every phone in the village, but no one bothered to check.
If you've ever experience the "Security Camera that Cried Intruder" phenomenon,
then I have good news for you. Uniview has been rolling out new security cameras
embedded with deep learning artificial intelligence technology. This deep learning
technology will allow your security cameras to recognize human and vehicle movement,
thus making it more reliable and more efficient. So what exactly is deep learning
artificial intelligence and what does it mean for video surveillance? Well I'm glad you asked,
because that's exactly what we're going to be looking at in today's video.
If you haven't already heard the phrase "Deep Learning" in the video surveillance realm,
you're probably going to hear about it pretty soon, and with increasing frequency,
because this is becoming more and more relevant to the video surveillance industry. Since this
is such an important topic to understand, let me try to explain it as best as I can, and for this
I'm going to need my white board. So here is a security camera. Now let's say we wanted to teach
this security camera how to watch out for wolves. We could tell the camera that wolves have pointy
ears, wolves are furry, wolves have sharp teeth and claws, wolves have fluffy tails. As we feed
more and more data into this camera, the camera will start to become smarter and be
more able to differentiate between wolf movement and, say, squirrel movement.
This process is a branch of artificial intelligence called Machine Learning. The
problem with this is there's only so much that we can tell the camera about what a wolf looks like.
After a while, things get pretty repetitive and the efficiency starts to go down. We could plot
this on a graph here and it would look something like this. While we can continue to feed more
and more data into this machine, eventually the efficiency of that camera is going to level out.
So Machine Learning essentially would be to feed the security camera a list of properties
in order to achieve a desired result. But what if we flip this on its head? What if we start with
a desired result and let the camera figure out a list of properties? This is called Deep Learning.
With deep learning, instead of giving as security camera a list of properties about a wolf,
we just show the camera a bunch of pictures of wolves. Thousands upon
thousands of wolves of different shapes, sizes, colors, ages.
Over time, the security camera will be able to take all of those images that we fed it,
analyze it, and pick out the properties that it needs to look for without us having to tell it
what those properties are. With deep learning, there is always more data that we can continue
to pour into this security camera, so instead of this we end up with this. A security camera
that is always able to improve and become more and more efficient with every picture that we show it.
Do you see the potential that deep learning like this can have for video surveillance? Let's see
how this works in practice, and to do that we're going to be looking at this Uniview Prime I 4K
Motorized Vandal Dome. This camera is fully NDAA compliant. It's got a built-in microphone
and a ton of incredible features. But what we are interested in today is the deep learning
artificial intelligence technology that is baked into this camera. So let's go check it out.
Alright, we have our 4K PTZ pulled up here, and now I want to check out some of these artificial
intelligent features. So to do that I'm going to jump into the setup menu here and we are going
to head to intelligent events. Now we have a few different intelligent events to choose from here.
I'm just going to set up a simple line crossing for now, so I'll click the check
mark here to enable that, and jump into the line crossing settings. Now to get started,
I'm just going to click detection rule down here, and that's going to give us our line.
Now if you've worked with video surveillance in the past, you're probably used to a line crossing
intelligent event. Typically anytime motion is detected and crosses this line,
it's going to trigger the line crossing detection alarm. However with Uniview's Deep AI technology,
this line crossing detection alarm will only be triggered when a motor vehicle,
a non-motor vehicle, or a pedestrian crosses that line. And you can see right here as soon as we
have this line drawn, these orange boxes which represent motor vehicles are crossing that line
and turning red. We can configure this further with these check boxes over here, for instance
if we only want to track motor vehicle movement, we can uncheck non-motor vehicle and pedestrian.
Or if we only want to check for pedestrian movement, if we're not concerned about the cars,
then we can click here and only track pedestrian movement. I'll go ahead and leave everything
selected just so we can see what's happening over here. If we move down here to filter type,
we can actually refine these filters a little bit further. By default, for each of these selections
"Max Size" and "Min Size" is set to the largest possible and the smallest possible areas.
But if we need to configure this further, for instance off in the distance here you can see
these yellow boxes around the cameras when they get further away, that's just the camera thinking
these tiny vehicles are non-motorized vehicles just because of their size. We can come down
here to filter type and adjust those sizes if we need to. Now as we head back here to live view,
we can actually see these intelligent event markers. To set that up, you can come back
into setup here, go into local parameters, and make sure "Intelligent Mark" is enabled.
And "Untriggered Event" is enabled. If you don't want to see lines on everything,
you can set this to disabled and it will only show up when something actually triggers the alarm. But
for the purposes of this video, we want to see exactly what that Deep AI is tracking. So we're
going to leave this enabled. Now let's head back into the live view and check out what we have.
We have this blue line here which indicates our line crossing event.
We can see because of the arrows, this is going both ways. So anytime a pedestrian, a motorized
vehicle, or a non-motorized vehicle crosses this line in any direction, the line crossing
detection alarm will trigger. If an animal crosses this line, if leaves blow past this line,
if there is any movement that isn't caused by human agency, then essentially the security camera
is going to completely ignore that movement. So that's really what makes this Deep AI technology
so powerful is that it can cut out false alarms, it can save recording space on your NVR's hard
drive, and it can make locating important events on your NVR's timeline so much easier.
Another cool feature of this Deep AI technology is this "Start Capture" button down here.
This is actually going to take snapshots every time that line crossing detection is triggered
and we're going to be able to see that happen in real time right here. It's also going to save
those snapshots directly to your computer, which you can find here by clicking "Open Image Folder."
Now I'm going to hop out there in the parking lot and walk across this line a couple of times just
so you can see it triggered by pedestrian movement in addition to vehicle movement.
So you can see here this actually does an excellent job of tracking both vehicle
movement and pedestrian movement at the same time. If we take a look at this snapshot view,
you can see that we have human movement and vehicle movement separated for convenience, and
if we pop open this image folder here you can see that we have separate sub-folders for each type of
target. That makes this a super handy feature that I really think a lot of people are going to love.
This really is where security cameras are heading, because standard pixel-based motion detection
really can't hold a candle to some of these more advanced artificial intelligence technologies.
At the time of this recording in February of 2021, we already carry several Uniview models
that are built with this deep learning technology, but we are planning on getting several more
deep learning artificial intelligence cameras from Uniview over the next few months,
simply because this is quickly becoming the default. So be sure to click that link in
the description below to check out our blog post, which we will continue to keep up to
date as we continue to get more products from Uniview with this deep learning technology.
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another security video. Thank you so much for watching and I will see you next time.