AI-Based Drone Object Tracking System: Design and Implementation

Author(s):  
Daewoo Kim ◽  
Wan Ju Kang ◽  
Yoon-pyo Koo ◽  
Jihwan Bang ◽  
Kyung-hwan Son ◽  
...  
Author(s):  
Allan Soon Chan Roong ◽  
Shin-Horng Chong

This paper presents the design and development of a laboratory-scale single axis solar tracking system. The chronological method was implemented into the system because it has high accuracy and can save more energy as compared to other types of solar tracking system. The laboratory-scale single axis solar tracking system can be used to identify the suitable and safe workspace for the installation of the actual solar tracking system plant. Besides, the validity of the laboratory-scale single axis solar tracking system was examined experimentally. The angle of rotation, per hour is preferable to be implemented into the designed laboratory-scale single axis sun tracking system due to the high performance ratio which is 0.83 and can save the energy up  to 25% during sunny days.


2020 ◽  
Vol 12 (01) ◽  
pp. 32-37
Author(s):  
Abbas F. Nori ◽  
◽  
Faisel G. Mohammed

In this work comparison between the results of the first systems is a fixed solar and the second is the sun tracking in an attempt to increase the proportion of electricity production. Here a microcontroller (Arduino) and the light-dependent resistor (LDR) photo detector is used in this tracker. And then compare the results in different weather conditions and on different days to test the efficiency of the two systems. The efficiency of the tracking system is better than the fixed system by 12.3% on a sunny day and 4.9% on a partly cloudy day. However, it failed by 3.3% on a cloudy day. With a sunny day preference in the tracking system at 6.9% of partially cloudy days, and 12.1% with partially cloudy to a cloudy day. And verified from The efficiency of the work of the microcontroller (Arduino) system and the optical detector (LDR).


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