Suspicious Human Activity detection using AI and ML

Suspicious Human Activity detection using AI and ML

Registration ID: IJNRD_220103

Published ID: IJNRD2404829

DOI: Click Here to Get

Meghana C , Monika Kadam N , Preethi N , Priyanka P , Pratibha S

Artificial intelligence, YOLOv3 model, Mobile LSTM, video surveillance, abnormal activity detection

With the rise in anti-social activities, the need for robust security measures has become paramount. Closed-Circuit Television (CCTV) systems are commonly deployed for continuous surveillance, but the manual monitoring of extensive footage is impractical. This paper proposes an innovative approach by integrating YOLOv3 and Mobile LSTM into surveillance systems to efficiently identify abnormal activities with precision and speed. YOLOv3's object detection capabilities are leveraged to enhance the system's ability to detect concerning behaviors such as aggression, unauthorized access, and erratic movements. Additionally, Mobile LSTM is introduced for its proficiency in sequential data processing, enabling precise temporal analysis within video streams. By combining YOLOv3 and Mobile LSTM, the proposed model effectively captures both spatial and temporal information, enhancing the system's overall surveillance capabilities. This integration not only improves the accuracy of abnormal activity detection but also expedites decision-making processes, thus addressing the challenges posed by manual monitoring and bolstering security measures.

Published Paper   E-Certificate

"Suspicious Human Activity detection using AI and ML", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i226-i229, April-2024, Available :https://ijnrd.org/papers/IJNRD2404829.pdf

Volume 9 Issue 4, April-2024

Pages : i226-i229

Paper Reg. ID: IJNRD_220103

Published Paper Id: IJNRD2404829

Downloads: 000121218

Research Area: Computer Engineering 

Country: SHIMOGA, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404829.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404829

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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

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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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