Hazard Detection and Response Robot for Real Time Monitoring
- DOI
- 10.2991/978-94-6463-787-8_11How to use a DOI?
- Keywords
- DHT11 Sensor; MQ2 Gas Sensor; ESP 32 CAM; Arduino UNO; L293D Motor Driver; DC Motor
- Abstract
The project aims to design and develop a robot to detect hazards and give response using various sensors and an automated alert system. The robot is equipped with an ESP32-CAM module to capture live video, an MQ2 gas sensor to detect harmful gases, and a DHT11 sensor to monitor temperature and humidity levels. When the robot senses a dangerous situation, it activates both sound alarms using a buzzer to warn of the threat. The robot’s movement is driven by 60 RPM motors, managed by an L293D motor driver, enabling it to move independently and respond to hazards. ESP32 camera module ensures continuous remote monitoring, offering users essential visual information about the robot’s surroundings. Additionally, a storage compartment is included for safely handling or collecting small hazardous items when needed. This all-in-one system improves safety across industrial, commercial, and residential settings by combining real-time hazard detection, alert systems, and easy monitoring capabilities.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - M. Raju Naik AU - M. Hema Harshitha AU - Pathuru Sathvik AU - Surishetty Suhas AU - V. Gayathri AU - Shrikant Upadhyay AU - S. V. S. Prasad PY - 2025 DA - 2025/07/17 TI - Hazard Detection and Response Robot for Real Time Monitoring BT - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025) PB - Atlantis Press SP - 109 EP - 118 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-787-8_11 DO - 10.2991/978-94-6463-787-8_11 ID - Naik2025 ER -