Abstract: The paper presents a multi-agent solution for dynamic combination of several artificial neural networks used for image recognition. As opposed to the existing methods there is introduced a dispatcher agent that provides prelaunch matching of possible pro-active identification algorithms through competition. The proposed solution was implemented to solve a problem of stream processing of photo images produced by a number of distributed cameras using an intelligent mobile application. It was probated and utilized in practice to capture the results of electrical meters that are manually monitored by a group of patrol personnel inspectors using hand held devices. Prelaunch matching architecture allowed increasing the quality of digits recognition using various neural networks depending on the operating conditions.

Anton Ivaschenko, Arkadiy Krivosheev and Pavel Sitnikov, “Prelaunch Matching Architecture for Distributed Intelligent Image Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 11(11), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111107

@article{Ivaschenko2020,
title = {Prelaunch Matching Architecture for Distributed Intelligent Image Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111107},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111107},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {11},
author = {Anton Ivaschenko and Arkadiy Krivosheev and Pavel Sitnikov}
}