Technology of Objects Recognition by Drones with Humanitarian Medical Cargo

Abstract

The problems of objects recognition by drones (UAVs) were observed, the general analysis of these problems was done. The central purposes of the work were outlined, as well as the set of tasks for these problems solutions. In process of the work the observation of prototypes and analogs – the versions of previously constructed UAV modules with images recognition abilities were done for providing medical assistance in extreme conditions. The aim of present work was to develop mechanisms and possibilities of image recognition by UAVs for medical purposes, and to clarify the possibility of humanitarian cargo transportation by UAVs to programmatically defined object or person. To do this the experience of prototypes creation, and their analysis were taken into account. The algorithms of necessary operations and suitable software were developed to automate processes. Developed software was designed basing on a face recognition technology convolutional neural network. All necessary information concerning all stages of the work was described profoundly. Originally developed humanitarian UAV was constructed with various modules (for diagnosing a person's health state, providing patient with appropriate medical care, others); and module for images recognition in point of destination was one of them. The sample of created algorithm and few fragments of novel program supply were given in present article. Developed UAV can be used repeatedly for different tasks solutions: monitoring of area pollution (chemical or other); medical equipment and first aid means can be parachuted over the point of location of potentially injured person, etc. In both cases images recognition functions are desirably for the drone. Preliminary data concerning successful application of work results, some given practical recommendations were described.