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.
Highlights
Artificial neural networks are widely used for image recognition nowadays
The image recognizing system needs to process a large variety of data in different operating conditions, and the better processing of one type leads to the failures in other cases
Combination of several neural networks within the solid solution [1, 2] is a distinguished approach to improve the quality of recognition making the system adaptive to changing conditions
Summary
Artificial neural networks are widely used for image recognition nowadays. their application in practice is still concerned with the low versatility caused by filtering property that leads to the lack of multitasking. The image recognizing system needs to process a large variety of data in different operating conditions, and the better processing of one type leads to the failures in other cases. In addition to this the neural network is often being especially trained to reduce the noise affected by surroundings, which can be useful to identify the context sometimes. Variance in meter types and operating conditions makes it problematic to use single neural network To cover this gap there was developed a prelaunch matching software solution based on the concept of multiagent architecture of distributed intelligence. It can be based by an extra neural network itself or implement preliminary defined rules or reasoning
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