A novel design of a robotic vehicle for rescue operation

Zaman, Hasan U.; Hossain, Md. Shahriar; Wahiduzzaman, Mohammad; Asif, Shahariar

doi:10.1109/iccitechn.2015.7488123

Cited by 8 publications

(1 citation statement)

References 4 publications

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“…Then, using a temperature sensor, pulse sensors are used to check the affected human's pulse rate in order to determine whether or not the human is alive. An unmanned vehicle [50] with a GPS module receives latitude and longitude coordinates from a satellite. When the face is detected, the ARM7 microcontroller receives a control signal.…”

Section: Viola-jones Algorithmmentioning

confidence: 99%

Multiple Sensor based Human Detection Robots: A Review

Vellingiri,

Mohanasundaram,

Tamilselvan

et al. 2023

International Journal on Smart Sensing and Intelligent Systems

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Many natural disasters occur in today's world, resulting in the loss of human life. The application of sensor technology would not stop natural disasters from happening, but it will help those who are affected. It will take time and effort to find the humans who are still alive beneath the rubbles. Ordinary bots that are assigned to rescue missions involving the discovery of living humans trapped beneath massive piles of debris are ordinarily subject to repeated harm arising from continuous contact with the damaged structures. As a result, a significant demand for sensors exists. Sensors are becoming more important as a means of gathering sensory data from the affected area. It is possible to locate humans who are still alive, as well as ascertain the condition of victims who require immediate medical attention in order to survive, using this information. The primary goal of this study is to provide an overview of current sensor-based rescue robot research. Several papers were reviewed in the areas of design, interfacing, controlling, simulation, and applications. Furthermore, this review discusses the use of sensors in the detection of humans as well as the potential for future developments.

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Section: Viola-jones Algorithmmentioning

confidence: 99%