DEVELOPMENT OF SMART RESCUE ROBOT WITH IMAGE PROCESSING (IROB-IP)

Humanity has undergone a variety of unexpected catastrophes resulting from natural and human-made causes. The disaster has suffered from each generation and has contributed to the advancement of search and rescue technologies to support the victims in the future. This disaster has been experienced by every generation and has contributed to the advancement of search and rescue technology to support future victims. A certain product has been built to tackle this issue such as teleoperated robot with a webcam which allow user to control robots by wireless remote. Unfortunately, the possibility of human to overlook a victim is high during the operation because there would be many obstacles exists towards the operation site. The main objective of this research is to build an Image Processing Smart Rescue Robot called iROB-IP. Through using an image processing system and ultrasonic sensors to avoid the obstacles encountered through iROB-IP, the robot can identify victims automatically. By using a live web camera along with image processing, it can provide information about the environment to increase the effectiveness of operations. From the experimental results, by using a smartphone and controlling wirelessly, iROB-IP can operate in dual mode that is automatic and manual during the operation to save the victim. In addition, by using image processing it will be able to identify the victim faster and more accurate which in turn will be able to reduce the inspection time during the operation and increase the survival rate of the victim during the disaster.