Paper Title

WEB CAMERA BASED WOMEN SAFETY AND SECURITY SYSTEM ALERT USING DEEP LEARNING

Article Identifiers

Registration ID: IJNRD_191105

Published ID: IJNRD2305432

DOI: Click Here to Get

Authors

Prof .Sayalee Deshmukh , Kajol Buktare , Purvajya Gawarshettiwar , Samiksha Bode , Ashita Hirmukhe

Keywords

Convolutional Neural Network, Deep Learning, Image Processing, Object Classification, Womens Safety Prediction.

Abstract

Use of robots has become exceptionally famous yet its fullest potential must be acknowledged when teamed up with other modified sensors, subsystem carrying out functionalities like picture handling, route control, automated activation. In this day and age ladies security is one of the main issues to be tended to in our country. At the point when a lady needs critical assistance at the hour of provocation or attack, legitimate reachability is absent for them. Aside from staying alert about the meaning of ladies' security, it is fundamental that they are furnished with insurance during those vital times. It is an instrument which will take input pictures and it will foresee the potential outcomes of ladies' unsafety and its stages utilizing profound learning. This venture assists in using with rambling innovation in a viable method for tackling various issues of society by proposing a CNN based picture handling model which is powerful for flying observation with different shrewd independent modes. The paper talks about the prerequisite for utilizing such quicker, less complex, and powerful working techniques in aeronautical reconnaissance by smoothing out, and improving its activities by conquering the different difficulties of prepared to arrange recognize weapons, shoot mishaps. In this paper we are going to discuss deep learning architecture such as Convolutional neural network for detection and classification of objects.

How To Cite

"WEB CAMERA BASED WOMEN SAFETY AND SECURITY SYSTEM ALERT USING DEEP LEARNING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e299-e302, May-2023, Available :https://ijnrd.org/papers/IJNRD2305432.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : e299-e302

Other Publication Details

Paper Reg. ID: IJNRD_191105

Published Paper Id: IJNRD2305432

Downloads: 000121200

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305432.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305432

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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