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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | WEB CAMERA BASED WOMEN SAFETY AND SECURITY SYSTEM ALERT USING DEEP LEARNING |
| Authors Name: | Prof .Sayalee Deshmukh , Kajol Buktare , Purvajya Gawarshettiwar , Samiksha Bode , Ashita Hirmukhe |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_191105
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| Published Paper Id: | IJNRD2305432 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| 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. |
| Keywords: | Convolutional Neural Network, Deep Learning, Image Processing, Object Classification, Womens Safety Prediction. |
| Cite Article: | "WEB CAMERA BASED WOMEN SAFETY AND SECURITY SYSTEM ALERT USING DEEP LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e299-e302, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305432.pdf |
| Downloads: | 000118753 |
| 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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Published Paper ID:IJNRD2305432 Registration ID: 191105 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: e299-e302 Country: Pune, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305432 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305432 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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