Prelaunch Matching Architecture for Distributed Intelligent Image Recognition

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.

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