Human Detection Robot in Rescue Operations

This paper proposes a novel approach for the detection of human in calamity environment using an autonomous mobile robot. The autonomous system proposes surveying, detection of live human victims with the help of ultrasonic sensors, motion sensor cameras, live transmission of data and analysis of victims condition in that particular scenario. The detection of any victim is quite difficult for the autonomous system as compared to humans in any calamity situations. Hence, the autonomous system has to be properly equipped with sensors like motion detection & thermal imaging to identify the victims as efficient as humans. This paper proposes a detailed methodology of work for an autonomous robotic system for physical body detection. The detection system uses ultrasonic sensor & thermal imaging to detect a live victim, which triggers the camera for actual visuals and determination of victim condition. This autonomous system is further equipped with a thermal sensor for detection of fire to alert and provide locations to the rescue personals. The autonomous system automatically triggers the live feed camera whenever a victim or fire is detected for the rescue personal to assess the situation. The approach mentioned above is a very cost-effective and rapid action method because only a limited amount of information is required on a real-time basis to process the information to detect victims in highly sensitive situations. The victim detection depends upon various factors such as luminous intensity, the orientation of victim and other external parameters which are discussed.