Alive Human Detection Robot

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

Many people lose their life when a natural disaster such as earthquake, tsunamis, windstorms occur. Similarly, in war-fields soldiers lose their life when they put their foot incidentally on landmines. This paper focuses on investigating, analyzing, and exploring the previous research papers on the alive human detection robot. The further modifications that have been done in the past are compared extensively in this paper. A quantitative analysis of the various technologies used in the past such as microcontrollers (Arduino UNO, Raspberry pi), sensors (PIR sensor for detecting the motion in the body, IR sensor) and other wireless technologies for data and instruction transmission (Bluetooth) is done in this paper. Further, methods have been devised in order to make the robot more effective.

International Journal on Recent and Innovation Trends in Computing and Communication, 2020

In the current technological world, the technologies are evolving day by day. In the modern world, there is continuous development of skyscraper buildings & dwellings, which increases the risk of losing life by natural calamities and man-made disasters. During earthquakes, landslides, and building collapse, a lot of times, humans are trapped under debris and it becomes impossible to detect their presence by the rescue team. There are some cases where it is impossible for rescue teams to reach certain locations in affected areas. The Proposed system is a raspberry pi based human detection robot, which is used to detect live human beings trapped under debris in a affected environment. The robot navigates through the zigzag path and it is controlled by an android application. The set of sensors assembled to the raspberry pi are Microwave radar sensor, Ultrasonic sensor, Temperature sensor and Gas sensor. The Microwave radar sensor is also used to detect the human being behind the obsta...

Abstract : In this paper, a new approach for detecting alive humans in destructed environments using a autonomous robot is proposed. Alive human body detection system proposed a monitoring system using ultrasonic sensors and camera to record, transmit and analyze conditions of human body. The task of identify human being in rescue operations is difficult for the robotic agent but it is simple for the human agent. In order to detect a human body, an autonomous robot must be equipped with a specific set of sensors that provide information about the presence of a person in the environment around. This work describes a autonomous robot for rescue operations. The proposed system uses an ultrasonic sensor in order to detect the existence of living humans and a low-cost camera in order to acquire a video of the scene as needed. Additional, other sensors include temperature, fire and metal detector works as bomb sensor to detect the presence of bomb in Warfield and in rescue operations. Having detected a sign of a living human, the ultrasonic sensor Triggers the camera to show live scene. The video is then displayed on the screen. This approach requires a relatively small number of data to be acquired and processed during the rescue operation. This way, the real-time cost of processing and data transmission is considerably reduced. This system has the potential to achieve high performance in detecting alive humans in devastated environments relatively quickly and cost- effectively. The detection depending on a number of factors such as the body position and the light intensity of the scene. Results show that the system provides an efficient way to track human motion. The aim of this article is to present our experience with various sensors designed and developed.

The objective of this project is to find the alive humans in destroyed building with the help of rescue robot in disaster prone and bomb blast areas. The alive human detection sensor is the special type of sensor which has two elements, the live body sensor and Amplifier Circuit. The passive infrared radiation emitting from the alive human bodies are sensed by the sensor and if there is a variation due to movement of alive human body, the difference output is generated. It will be amplified by differential amplifier and then the signal is fed to another amplifier unit in order to amplify the voltage level. Then the amplified signal is given to flash type reprogrammable microcontroller which controls the motor connected to the robot model. The robot moves according to the instructions provided by the operator. If the sensor detects the presence of alive human body, it forces the robot to stop there and microcontroller will activate the alarm. The driver circuit is constructed with transistor, which acts as a switch to turn ON and turn OFF alarm. Now the alarm makes the sound for the alive body indication.

Natural calamities do occur and they are unstoppable. But humans are becoming increasingly aware in the concept of intelligent rescue operations in such calamities so that precious life and material can be saved though calamities cannot be stopped. Still there are lots of disasters that occur all of a sudden and Earthquake is one such thing. Earthquakes produce a devastating effect and they see no difference between human and material. Hence a lot of times humans are buried among the debris and it became impossible to detect them. A timely rescue can only save the people who are buried and wounded. Detection by rescue workers becomes time consuming and due to the vast area that gets affected it becomes more difficult. So the project proposes an autonomous robotic vehicle that moves in the earthquake prone area and helps in identifying the alive people and rescue operations. This Project deals with live personal detection robot is based on Microcontroller. This Robot follows which is drawn over the surface. Here we are using PIR sensor for detection. The project is mainly used in the DEBRIS for Earth quake rescue and in war fields internally it consists of IR sensors. The infrared sensors are used to avoid obstacles. All the above systems are controlled by the Microcontroller. The Microcontroller is used to control the DC, Stepper motors and read values of the IR sensors and ULTRASONIC sensor. It receives commands from the PC and acts according to the command to navigate. The two modes of navigation are AUTONOMOUS AND MANUAL navigation.

2011 Annual IEEE India Conference, 2011

International journal of engineering research and technology, 2018

There are lots of sudden Natural calamities like earthquakes, Floods, Storms etc., and Manmade disasters like robberies, Industrial and Transportation accidents and one of the most threatening is terrorists attacks. These disasters produce a devastating effect and they see no difference between human and material. Hence, many times humans are buried among the debris and it becomes impossible to detect them. A timely rescue can only save the people who are buried and wounded. Detection by rescue teams becomes time consuming and more difficult. Therefore, we propose a robotic vehicle that moves in the disaster prone area and helps in identifying the alive people and rescue operations. As the robot is used to detect humans, it is named Human Detection Robot.

The robot built on the USAR team is capable of navigating the difficult terrain of a disaster site but lacks sensors for victim detection. The contribution of this work is to provide a sensor suite for human detection and Accident Detection in the urban disaster environment. Underground communication is necessary to monitor underground environmental parameter such as temperature, Humidity, toxic gas etc. and take necessary actions accordingly to avoid any types of hazard. Its purpose is to find and locate human victims who have been trapped by rubble inside damaged buildings. Conditions in a disaster area are extreme with many unknown parameters. Victims may be covered in debris, trapped in voids, or entombed, making it difficult to find them and determine their state of health. This is why it will be important to choose a set of different sensors which are complementary and able to operate in these conditions.This research consists of three main parts. The first step will be to determine the state of the art in USAR robotics, with special emphasis on sensors for victim detection. Next, a set of appropriate and complementary sensors will be selected in accordance with chosen criteria, mainly that the sensors be lowcost and lightweight.The selected sensors will be integrated with the USAR robot. This involved developing hardware and low level data acquisition software solutions. Tests will be used to determine the robustness, limitations, and accuracy of each sensor and this data will be used to develop a comprehensive system that fuses the information from all the sensors to determine the location and probability of human presence. Finally, a graphical user interface will be developed to provide useful information back to the human operator while allowing the user the power to interact with individual sensors.

VIVA-Tech International Journal for Research and Innovation, 2020

In the current technological world, the technologies are evolving day by day. These developments make human life easier and more enthusiastic. The new high-speed technologies & growing computer capacity provides advancement in the field of control theory. In the modern world, there are continuous development of the skyscraper buildings & dwellings which increases the risk of losing life by natural calamities and manmade disasters. During earthquakes, landslides, and building collapse, a lot of times, humans are trapped under debris and it becomes impossible to detect their presence by the rescue team. Sometimes, it is impossible to reach certain locations in calamity affected zone. Many models have been proposed for detection of human's presence under the debris in affected zone. This paper analyses various models developed to find the alive human being during natural calamities.

Recent Trends in Intensive Computing, 2021

This report outlines a human searching device that takes the form of a robotic car and serves as a backup mechanism for saving lives in the event of a disaster. The temperature sensor, in general, detects the thermal image of the human body, and there has been extensive research into human searching with the gas and humidity sensor. In the intelligent robot device’s study, achieving accurate and reliable human detection and tracking is a difficult challenge. The architecture of human detection and tracking mechanisms over non-overlapping field of views is examined in this paper. To compensate for their respective flaws, a search method is proposed. The proposed method’s rate and accuracy of human detection was tested in an experimental setting. We may guide the robot’s movement by commanding it to move left, right, forward, or backward. We plan to equip the robot with sensors that will enable us to track and detect humans behind the wall.