System for detection and recognition of people using drone Tello Edu
Keywords:
Machine learning; algorithm; drone; histogram; recognition; python; images.Abstract
In this research article, the training of an algorithm for user recognition and identification is developed, using an unmanned aerial vehicle with a video camera for face focusing, specifically with the Tello EDU Drone. Within the training of the algorithm in the Python software with the developer Pycharm, three instruction models FISHER, EIGEN and LBPH were used, which presented efficient results in the detection of identification patterns. The EIGEn and FISHER model have a minimum margin of error on the other hand, the LBPH model has a lower detection error, as well as a better response time of result, in the tests carried out to users, depending on the number of samples.
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