Large scale image and video analysis with Amazon Rekognition
This tutorial will show you how to expand the capabilities of your applications with automated image and video analysis using Amazon Rekognition.
The topics that we will cover in this session are as follows:
1. What is AWS Rekognition?
4. How it works?
5. Use cases
What is AWS Rekognition ?
Amazon Rekognition is a fully managed computer vision service that enables developers to analyze images and videos for a variety of use cases including identity verification, media intelligence, custom industrial automation, and workplace safety – no ML skills required. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required. You simply need to supply images of objects or scenes you want to identify, and the service handles the rest.
Learn more about Amazon Rekognition at – http://amzn.to/2M0rhEL
Some of AWS Rekognition Features:
1. Face analysis.
2. Estimate age range for people.
3. Face comparison.
4. Objects detection and analysis (Tree, Grass, Moon , Light…etc).
5. Connect it with CloudWatch. (Get number of detected faces, response time….etc)
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