Intelligent System for Detection and Identification of Ground Anomalies for Rescue

The search and identification of people lost in an emergency is a very important activity, it is carried out to assist in human lives in danger, and the unavailability of support technologies. Unmanned aerial vehicles (UAV) act directly in this activity for greater capacity in the coverage of the area in a shorter time of operation. A brief state-of-the-art survey is presented, and specific needs are raised for accuracy and practical application. In this joint work, low-processing image recognition alternatives for use in UAV will be explored to face challenges such as location in large areas, small targets, and orientation. Assessments are performed on real images using Inception, SSD, and Yolo. For tracking, MIL, KCF, and Boosting techniques are applied to empirically observe the results of test missions. Preliminary results show that the proposed method is viable for action in the search and rescue of people.