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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 5, MAY 2023

IMAGE ANALYSIS APPLICATION AND IMAGE INSIGHT APP USING GOOGLE’S CLOUD VISION API

Prof. Madhavi Patil, Yash Kalbande, Pratik Waghchaure, Mayuri Deore, Pratik Avhad

DOI: 10.17148/IJARCCE.2023.125289

Abstract: Image analysis is the extraction of meaningful information from images mainly from digital images by means of digital digital images processing techniques. Image analysis would focus on breaking down the images into fundamental components (edges, shapes, colours, etc) in order to perform statistical analysis on their occurrence. This system is used for scanning the picture and the other for saving the pictures. In this project the front-end involves XML, Android-Java and the back-end involves SQLite. The IDE used in Android Studio. Our aim for the Image analysis and Image insights application using Google Cloud Vision API is to create an application for Smartphone that can recognize any objects or images. With Google Cloud Vision API, we can make custom models that feature explicit ideas from the pictures. It can also detect multiple objects from the image. I will show if the images is safe for a certain age group, whether it contains any violence or not and other details tha many concern. This Android application will help to find insights about the image with the help of Google Cloud API.

Keywords: Image analysis Google Cloud Vision API,Android Application.

How to Cite:

[1] Prof. Madhavi Patil, Yash Kalbande, Pratik Waghchaure, Mayuri Deore, Pratik Avhad, “IMAGE ANALYSIS APPLICATION AND IMAGE INSIGHT APP USING GOOGLE’S CLOUD VISION API,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.125289