UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2505416


Registration ID:
561479

Page Number

d643-d650

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Title

Resilient Rover-An AI Driven Survivor Search Bot

Abstract

Abstract :In the wake of growing security concerns and the need for autonomous monitoring solutions, intelligent surveillance systems have gained significant importance. This project introduces a multifunctional Surveillance Seeking Bot, a compact, mobile unit that integrates a suite of advanced technologies including the ESP32-CAM, NodeMCU, ultrasonic sensors, motion detectors, and gas sensors. Designed for real-time environmental assessment and threat detection, the bot serves as a comprehensive solution for dynamic surveillance needs across diverse sectors such as residential security, public safety, and industrial hazard monitoring.The ESP32-CAM functions as the visual core of the bot, capturing and streaming high-resolution video footage, which is processed through the YOLO (You Only Look Once) object detection algorithm. This enables real-time identification and classification of objects and individuals within the monitored area, enhancing situational awareness and enabling timely responses. The NodeMCU serves as the central control unit, managing data flow between components and facilitating wireless communication with user interfaces.To ensure autonomous mobility and obstacle avoidance, ultrasonic sensors are integrated to provide spatial awareness. Simultaneously, motion sensors allow the bot to prioritize and focus on areas of activity, optimizing surveillance efficiency. The addition of gas sensors further expands the bot’s capabilities, allowing it to detect hazardous substances and provide safety alerts.The system architecture promotes seamless integration of hardware and software, enabling real-time data acquisition, intelligent decision-making, and remote control via Wi-Fi. The result is an affordable, scalable, and adaptable surveillance platform capable of operating with minimal human intervention. This project demonstrates the potential of combining IoT, AI, and robotics to revolutionize surveillance, paving the way toward smarter, safer, and more responsive environments.

Key Words

Keywords— Surveillance Bot, ESP32-CAM, NodeMCU, YOLO, Object Detection, Real-time Monitoring, IoT, Smart Security, Ultrasonic Sensor, Motion Detection, Gas Sensor, Autonomous Navigation, Wireless Communication, Edge Computing, Embedded Systems

Cite This Article

"Resilient Rover-An AI Driven Survivor Search Bot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.d643-d650, May-2025, Available :http://www.jetir.org/papers/JETIR2505416.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Resilient Rover-An AI Driven Survivor Search Bot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppd643-d650, May-2025, Available at : http://www.jetir.org/papers/JETIR2505416.pdf

Publication Details

Published Paper ID: JETIR2505416
Registration ID: 561479
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/jetir.v12i5.561479
Page No: d643-d650
Country: COONOOR, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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