Open AccessCamera testing technique for auto recognition
Author(s) -
S. Yu. Kuznetsova,
K. Zhigalov,
I. M. Daudov
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1582/1/012058
Subject(s) - computer science , artificial intelligence , task (project management) , intellect , selection (genetic algorithm) , computer vision , quality (philosophy) , engineering , systems engineering , philosophy , theology , epistemology
The article describes the methodology for testing various cameras for their use in systems using neuro intelligence. This task is vital since the effect of the artificial intellect in recognizing incoming images is highly dependent on the quality of the input image. For these purposes, a detailed review of all relevant parameterization of measures in their assessment is given. The article can be useful for creating new systems oriented to the analysis of video images with a selection of cameras. The given method has been tested on real cameras and described in the article.