Paper Title
WEB CAMERA BASED WOMEN SAFETY AND SECURITY SYSTEM ALERT USING DEEP LEARNING
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Registration ID: IJNRD_191105
Published ID: IJNRD2305432
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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.
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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
Research Area: Computer EngineeringÂ
Author Type: Indian Author
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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