Real-Time WebRTC based Mobile Surveillance System

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title Real-Time WebRTC based Mobile Surveillance System
 
Creator Alistair Baretto
Noel Pudussery
Veerasai Subramaniam
Amroz Siddiqui
 
Subject Computer Vision
Deep learning
WebRTC
YOLO
Android Development
REST API
STUN/TURN
Surveillance
 
Description The rapid growth that has taken place in Computer Vision has been instrumental in driving the advancement of Image processing techniques and drawing inferences from them. Combined with the enormous capabilities that Deep Neural networks bring to the table, computers can be efficiently trained to automate the tasks and yield accurate and robust results quickly thus optimizing the process. Technological growth has enabled us to bring such computationally intensive tasks to lighter and lower-end mobile devices thus opening up a wide range of possibilities. WebRTC-the open-source web standard enables us to send multimedia-based data from peer to peer paving the way for Real-time Communication over the Web. With this project, we aim to build on one such opportunity that can enable us to perform custom object detection through an android based application installed on our mobile phones. Therefore, our problem statement is to be able to capture real-time feeds, perform custom object detection, generate inference results, and appropriately send intruder alerts when needed. To implement this, we propose a mobile-based over-the-cloud solution that can capitalize on the enormous and encouraging features of the YOLO algorithm and incorporate the functionalities of OpenCV’s DNN module for providing us with fast and correct inferences.  Coupled with a good and intuitive UI, we can ensure ease of use of our application.
 
Publisher Vandana Publications
 
Date 2021-06-02
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/796
10.31033/ijemr.11.3.4
 
Source International Journal of Engineering and Management Research; Vol. 11 No. 3 (2021): June Issue (First Edition); 30-35
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/796/865
 
Rights Copyright (c) 2021 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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