Intel® Computer Vision SDK | IoT Developer Show | Intel Software

Intel® Computer Vision SDK | IoT Developer Show | Intel Software


Hi, I’m Martin Kronberg, and
this is the IOT Developers’ Show where we look
at IOT technology, shared learning opportunities,
and showcase cool demos and the creators behind them. In this episode,
we’re going to be taking a look at an
awesome facial recognition and detection demo with Tudor
Panu, a software engineer here at Intel. Let’s get started. Tudor, thank you so
much for joining us. What do you do here at Intel? Hi, I’ve been a software
engineer with Intel for a little over
three years now, and I focus mostly on
tools for IOT developers. Before Intel, I got a
PhD in computer science and engineering from
SMU in Dallas, Texas. All right, cool. Well, do you want to tell
us a bit more about the demo that you have for us? This application is
called face access control and can be used for facial
detection and recognition. There are two main components,
a video streaming service, which includes the
computer vision elements, and a user based interface for
registration and analytics. In this set up, I used
Intel’s Computer Vision SDK and a sixth generation Core i7
Intel NUC with a web camera. Awesome. Well, I’d love to
see how it all works. Let’s check it out. Let’s take a look. I’m going to use my own face
to show you how it works. First, you have to add your
information to the database. All you have to do is click
the new profile button when you’re ready to
save your picture. Once the camera sees a face,
it’s already tracking you. Thus, you can register a
new person in real time with a single click. Here, I am entering the
information in the database to get through registration. Since not all fields
are mandatory, I will just add my name
and clearance level. OK. So you can basically assign
different access levels to people depending
on their roles. Exactly. The clearance level
really asks you to access control
side of the story and can be used to trigger
events such as opening a door or sounding an alarm. Let’s see how it works. You can see my profile
picture pop up there on the left with my name. OK, it looks like it can
easily recognize you. Yeah, it’s pretty accurate. Let me show you the analytics
portion of the application. Every time a face gets
detected, a new data point is added to the chart. You can also look at exact
counts and distributions on this screen. Timestamps are also
available on the side panel. All right. Well, I really like this
interface that you’ve created. How do you think
the developers can use an application like this? So, the application
will obviously be used in digital
surveillance and security. However, there are
some other verticals that can be touched with it such
as smart retail, smart cities and buildings,
and even robotics. For instance,
think of membership based services like a gym. You might want to send push
notifications to your clients whenever they don’t
show up for a while, or if you have a
large retail store and you have a list
of banned people, you might want to alert
security whenever somebody from that list shows up. Sure. Maybe like known
shoplifters that have been caught in the past. Exactly. So, you mentioned
that this application is built using the CVSDK. Is that right? Correct. We do use the open
CV version that comes with Intel’s
Computer Vision SDK, and that library also
includes the facial detection and recognition algorithms. These are faster than
traditional methods, and we can do detection
or recognition almost on every frame
with low light SD. So, what kind of
system would I need if I wanted to run this demo? Any old bluetooth
1604 system that supports the Computer
Vision SDK will run it, and you can also scale
from Atom to Core to Xeon based on your
performance requirements. Wow. Well, this is a really
cool Computer Vision demo. If you guys are more
interested in learning about the specifics
of the demo or how to apply it into
your own project, we’re going to provide
all of the links. Tudor, thank you so much
for being here and showing this demo off. Thanks for having me, Martin. Before signing off,
I want to tell you guys about some IOT news. Recently, we launched
the Intel E workshop. Now, this is a virtual
lab that walks you through the set up of an Intel
LG gateway with a sensor kit to be able to read
sensor values and then publish that data to the cloud. Also, recently we launched the
Up Squared Grove IOT Developer kit. Go to the Intel
Developer Zone for IOT to get resources
and tutorials to be able to help you reduce
development time for your IOT applications. Thanks for we’re watching this
episode of the IOT Developer Show. Don’t forget to like this video
and subscribe to the Intel software YouTube channel. Remember to check
out the resources and the links provided as well. Thanks, guys.

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