Instructor: In this lesson, 2 2
we're going to explore 3 3
image and video detection services in AWS. 4 4
Image and video detection services are used 5 5
to identify objects, faces, texts, 6 6
and other features in images and videos 7 7
that are fed into services as input. 8 8
These services can also be used 9 9
to extract texts and images from the videos 10 10
that are provided to that service. 11 11
In AWS Cloud, 12 12
there are two incredible powerful services 13 13
that focus on image and video detection: 14 14
Amazon Rekognition and Amazon Textract. 15 15
First, we have Amazon Rekognition. 16 16
The Amazon Rekognition service is 17 17
where machine learning meets media 18 18
by opening a myriad of possibilities 19 19
for image and video analysis. 20 20
Amazon Rekognition is a fully-managed service 21 21
that harnesses advanced machine learning models 22 22
to analyze and detect objects, scenes, and faces 23 23
in images and videos. 24 24
Its capabilities have also been extended 25 25
for use in identifying inappropriate content 26 26
for certain age groups, 27 27
as well as for the recognition of celebrities 28 28
in videos and images. 29 29
Beyond merely detecting things within a piece of media, 30 30
Rekognition can also compare faces, 31 31
track individuals in videos, 32 32
and even recognize their emotions or sentiments 33 33
from their facial features. 34 34
If you're trying to build a moderation engine 35 35
for your application, 36 36
then Rekognition can be used 37 37
to identify potentially unsafe content, 38 38
and it has an added benefit 39 39
of continuously learning from any new data it receives 40 40
so that it can become more precise over time. 41 41
So when might you use Rekognition? 42 42
Well, again, let's pretend that you're at work 43 43
for an international news agency that wants to verify 44 44
if a celebrity was present at a certain event. 45 45
You could use the recognition service 46 46
to go through a series of videos recordings 47 47
that you took at the event, 48 48
and then alert you 49 49
whenever the celebrity that you are interested in, 50 50
what's observed in your videos. 51 51
Alternatively, let's pretend that you're working 52 52
as a security engineer 53 53
and you want to create a system that will authenticate users 54 54
as they walk into the office each day. 55 55
You could use Rekognition 56 56
to observe the feed from your security cameras 57 57
and then identify who has been entering 58 58
or leaving your office each day 59 59
based on who has been seen on the video feed. 60 60
Next, we have Amazon Textract. 61 61
Amazon Textract is a service that is designed 62 62
to extract data from various types of documents. 63 63
Textract goes 64 64
beyond the traditional optical character recognition, 65 65
or OCR, capabilities of most tools 66 66
because it is powered by machine learning. 67 67
Instead of just reading text from documents, 68 68
Textract can be used 69 69
to understand the content's layout and structure. 70 70
This means that it can discern tables, forms, 71 71
and other conflict structures within a document 72 72
and then convert those into a usable data. 73 73
With Textract, you can automatically extract 74 74
text, forms, and tables from scanned documents 75 75
so that you can have accurate 76 76
and almost instantaneous data extraction 77 77
from those documents. 78 78
Amazon Textract can operate at scale 79 79
and it can handle millions of document pages 80 80
in just a few hours, 81 81
a test that will otherwise take months or years 82 82
if perform manually by people. 83 83
So when might you use Amazon Textract? 84 84
Let's pretend you are working for an insurance firm 85 85
that has to process hundreds of claims. 86 86
Instead of doing this manually, 87 87
you can instead use Textract 88 88
to auto-populate the claim details into your database 89 89
from those handwritten or type forms. 90 90
And this will greatly speed up the data importation 91 91
and verification process. 92 92
Or let's pretend that you're working for a hospital system 93 93
that is running a resource study For a new type of medicine. 94 94
The researcher needs to compile data 95 95
from many different formats, 96 96
including handwritten notes, typed-up notes, 97 97
filled out forms, and more. 98 98
With Textract, you can streamline this process 99 99
by extracting crucial data points 100 100
from all these different formats 101 101
and then conduct analysis on a digitized data set 102 102
much more efficiently. 103 103
So remember, if you need to conduct image, video, 104 104
and document analysis in AWS, 105 105
you should consider using services 106 106
like Rekognition and Textract. 107 107
Amazon Rekognition is a service that can be used 108 108
to identify objects, faces, and texts in images and videos, 109 109
as well as being able to detect inappropriate content. 110 110
Amazon Textract is a service that can be used 111 111
to extract text from images and videos. 112 112
These tools are powerful and they can redefine workflows, 113 113
enhance our user experiences, 114 114
and drive operational efficiencies.