Vigilance: Integrating AI for Enhanced Domestic and Street Surveillance

Registration ID: IJNRD_300161

Published ID: IJNRD2409037

DOI: http://doi.one/10.1729/Journal.41424

Dhruvanand Gade , Damaraju Venkata Srikaran Jyothir Adithya , NKLN Murthy

Artificial Intelligence (AI), Smart Homes, Internet of Things (IoT), Domestic Security, Intrusion Detection, Real-time Monitoring, Computer Vision, Machine Learning, Sensor Networks, Alert System, Home Automation, Privacy Considerations, Emergency Response, Anomaly Detection, Proactive Security, Sexual Activity Detection, Assault Detection, Child Abuse Detection

The integration of smart home and Internet of Things (IoT) technologies has revolutionized modern living by offering convenience and connectivity, but also presents security challenges. This study proposes an AI-driven solution to significantly enhance home security. Our system uses a network of strategically placed cameras and sensors to monitor intrusions and emergencies in real time. Advanced artificial intelligence technologies such as computer vision and machine learning analyze live feeds to instantly detect unauthorized access, suspicious movements, fires or accidents. Once incidents are detected, homeowners and emergency contacts receive instant alerts via SMS and mobile apps, enabling quick responses to prevent theft, property damage or damage. This paper analyzes the design of our AI system with an emphasis on real-time processing, scalability, and strict data privacy. Empirical evidence from simulations confirms its effectiveness. Additionally, the system includes specialized features to detect sensitive activities such as sexual activity, assault and signs of child abuse. Trained on relevant data sets, it autonomously alerts police dispatch centers and local authorities, supports rapid response and increases street safety by placing AI-powered cameras on streets that detect disruptive and violent activities to alert the area as well as the zonal or nearest police station.

Published Paper   E-Certificate

Dhruvanand Gade, Damaraju Venkata Srikaran Jyothir Adithya, & NKLN Murthy (September-2024). Vigilance: Integrating AI for Enhanced Domestic and Street Surveillance. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(9), a353-a362. http://doi.one/10.1729/Journal.41424

Volume 9 Issue 9, September-2024

Pages : a353-a362

Paper Reg. ID: IJNRD_300161

Published Paper Id: IJNRD2409037

Downloads: 000121994

Research Area: Science and Technology

Country: Kothapet, Hyderabad,Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2409037.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2409037

Crossref DOI: http://doi.one/10.1729/Journal.41424

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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