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 (APA)

Prof .Sayalee Deshmukh, Kajol Buktare, Purvajya Gawarshettiwar, Samiksha Bode, & Ashita Hirmukhe (May-2023). WEB CAMERA BASED WOMEN SAFETY AND SECURITY SYSTEM ALERT USING DEEP LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), e299-e302. 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: 000121988

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

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

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

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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

Notification of Review Result: Within 1-2 Days after Submitting paper.

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