(bright upbeat music)
- [Sudha] I have a fun challenge for you.
Take a photo of your environment as seen from your camera.
It can be a picture of a production line
or a factory
or a warehouse environment
or a roadside view from a security camera.
The camera is the edge AI device
and the photo is going to be the data.
Follow the steps from the demo.
Feel free to refer to the handout for the steps.
Input your image
into the Azure AI object detection interface
and see what objects are detected.
Remember, we click Browse for a file,
found the file,
and then we input the file.
You can do that with your own images,
and you can try this with more than one image also.
Write down what objects are detected
and what objects you expect to be detected
but are not detected.
For example, you've seen this in the demo.
This image shows two people detected.
Actually, it shows one more person detected in the back.
It does not detect this person.
So I would expect all four humans to be detected,
but this person is missing.
If you want, you can adjust the threshold
to see does that change anything?
It doesn't seem to change much.
And if you want the objects to be detected,
that is not being detected in this picture.
So your exercise challenge
is to write down what objects are detected
and what objects are not detected.
After adjusting the threshold,
write down what threshold are you selecting that makes sense
to show the degree of confidence
with which you want this AI to work for your use case.
Does this meet your customer need for your work environment?
For safety or identifying defects or any other use case,
you would like to use computer vision for object detection.
Finally, what would you change to meet your needs?
Would you change the threshold?
Would you collect a new set of images of your environment
and train this pre-trained model?
And I already showed you here in the demo
that if you to want use your own images,
you have to create an Azure account,
and then you can go about using the API.
And you have all the details here,
but it is going to cost you token cost.
I want you to be aware of that.
Feel free to ask any questions
in the question tab of the course,
or come to my livestream, "SudhaLive,"
that I host monthly,
and I talk to all my students.
So you can scroll down at the bottom of any of my courses
and you will see the "SudhaLive" link.
And I host that once a month right here on LinkedIn.
And you can also tag my learner community
at Business School of AI if you have a question.
Next, I'm going to show you the solution.
Remember, I'm here to help.