SEGREGATOR FOR CUSTOMIZED PHOTOS USING AWS REKOGNITION

SEGREGATOR FOR CUSTOMIZED PHOTOS USING AWS REKOGNITION
Author(s):
B.VIJAY KUMAR, E.BHARGAVI, P. SAI KRISHNA, V. NISHANTH KUMAR
Keywords:
AWS, Amazon Rekognition, AWS S3 storage
Abstract
In Many people make photo albums of their family or close friends or relatives but have a hard time finding photos of particular people which they want or to sort them according to that here, our application comes into work, where you can simply choose some photos as a collection of all the different faces available in the album and sort all the photos at once by the face detected in each photo. The application is purely based on AWS Rekognition client (and its services) and AWS S3(Storage). Amazon Rekognition makes it easy to add image and video analysis to your applications. You just provide an image or video to the Amazon Rekognition API, and the service can identify objects, people, text, scenes, and activities. It can detect any inappropriate content as well. Amazon Rekognition also provides highly accurate facial analysis, face comparison, and face search capabilities. You can detect, analyse, and compare faces for a wide variety of use cases, including user verification, cataloguing, people counting, and public safety.
Article Details
Unique Paper ID: 154916 Publication Volume & Issue: Volume 8, Issue 12 Page(s): 855 - 858
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Last Date: 15th March 2024

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