Internet of Things Assisted Human Detection and Rescue Robot: A Game Changer in the Disaster Environment

• Main Authors: Akhtar, Md Jawed, Singh, Manmohan, Suneel, Sajja, Sutar, Anand, Nayaki, A. Periya, Khan, Nikhat Raza
• Format: Conference Proceeding
• Language: English
• Subjects: Disasters; Humidity; Humidity Sensor; IoT; LM335 Temperature Sensor; MQ6-Gas Sensor; PIR Human Body Detection; Real-time systems; Rescue Robot; Robot sensing systems; Sensor fusion; Sensors; Temperature sensors
• ISSN: 2767-7788
• DOI: 10.1109/ICICT60155.2024.10544923

In the realm of disaster response, the integration of Internet of Things (IoT) technologies has paved the way for innovative solutions to enhance human detection and rescue operations. This research work introduces a revolutionary approach through the development of the Challenging Human Detection and Rescue Robot (CHDRR). This robot incorporates advanced sensors, including the MQ6 Gas Sensor, LM335 Temperature Sensor, Humidity Sensor, and a Passive Infrared (PIR) Human Body Detection sensor, collectively forming a comprehensive sensory suite. The CHDRR leverages the power of IoT to enable real-time data collection, analysis, and communication, transforming disaster response capabilities. The MQ6 Gas Sensor ensures the detection of hazardous gases in the environment, providing crucial information for safe rescue operations. The LM335 Temperature Sensor and Humidity Sensor contribute to environmental monitoring, allowing the robot to adapt its strategies based on prevailing conditions. The PIR Human Body Detection sensor serves as a key element in the CHDRR's human detection capabilities. Through sophisticated algorithms and machine learning, the robot can identify and locate human presence amidst challenging disaster scenarios. The fusion of these sensors with IoT technology empowers the CHDRR to make informed decisions autonomously, optimizing its efficiency in dynamically changing environments.