Hello, everyone.
I would like to introduce you to the next week's full podcast,
which will feature a spotlight on animal tracking.
Here in studio, I have Shivang and Lianjie. Hello, Shivang! Hello Lianjie!
And remotely, we have Alex in Africa.
Alex, can you give us a quick summary what you will be talking about?
I'm just very excited by this world.
First project to create an app that allows us
to digitize the ancient craft of animal tracking for the first time.
It's going to allow people who enjoy nature to go, to go into wilderness areas
and be able to make sense of all the marks on the ground
through this, this cutting edge technology with HPE.
And how did you accomplish this?
So in our system, we use machine learning technology
to preprocess the image, including, removing the noise
and the segmenting images to identify all the footprints.
And if the images are already labeled, then we use them as training data
in the future.
And if they are not, we're going to use them, store them as a backup.
And then we use the machine learning, technology.
We also use them to infer the species of the footprints.
And then we use a, deep convolutional neural network science to do that.
and we pre-trained a neural network on large public datasets.
And then we also fine tune them using the footprints Alex has already collected.
Shivang.
This seems extremely complicated.
Have you simplified it somehow? Yeah, I'll talk about.
We will talk about that in the podcast for sure.
a key component of simplifying it is the system that we build around
the whole, algorithm that Lianjie mentioned, right?
Where we host the algorithm.
Where are the images coming from?
So I'll talk about the apps that are there and available for Android now,
and the web apps and the backend system that we have.
Thank you.
Gentlemen, please join us.
extremely interesting topic.
A great benefit to humanity preserving animal tracking and the art, thereof.