The fast improvement in computer vision and the increase in the range of its application around the world. And at the same time the improvement of unmanned aerial vehicles (UAV). The computer vision application is being integrated with the drone to achieve several purposes. one computer vision application that is used with the drone is object tracking. This type of task is used with the drone to achieve semi-autonomous movement of the drones, depending on the movement of the pre-determined target. This work categorizes the two methods to design object tracking by drone.

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In this study, the bacterial genera associated with the Periplaneta americana cockroach were isolated from the residential areas and nurseries in Baghdad city with concentrations 10-2, 10-4, 10-6 and their effect on the larvae of Gelleria mollonella. L worm was studied in the laboratory by food spraying method. Conclusion: The results showed that the highest percentage of larvae mortality was at the concentration 10-2 (33.33%) for both Acinetobacter lwoffii and Enterobacter cloacae bacteria. While the highest rate of larvae mortality was at the concentration 10-4 (33.33%) for each of Pseudomonas oleovorans, Acinetobacter baumannii, Acinetobacter lwoffii and Klebsiella pneumoniae, whereas the concentration 10-6 showed the highest mortality rate (50%) of Pseudomonas oleovorans and Klebsiellaella bacteria. Results of the study showed predominance of the effect of Pseudomonas oleovorans and Klebsiella pneumonia on the mortality rate of the larvae of the great Gelleria mellonell L. worm as it was 50%, while the effect of Enterobacter cloacae and Pseudomonas oleovorans yielded the highest mortality rate of 33.33% at each of the concentrations 10-2,10-4 10-6 whereas the results showed that the concentration 10-2 for each of Proteus mirabilis, Escherichia coli, and Enterobacter aerogenes had no effect on larvae mortality.