
that obtaining non-contact information from objects
doesn't have to be expensive. We utilized affordable
and user-friendly technologies to achieve our goals.
Information that we receive can be processed
using computers or mobile devices, which makes
our lives easier and helps us manage large amounts
of data comfortably. The developed application can
be used to extract information from various objects
in different fields, including education.
The integration of the developed application into
the learning process provides more attractive,
interactive and accessible learning for students. It
increases their motivation and interest in different
subjects. This approach allows them to discover the
world around them in a new and interesting way.
We plan to integrate AI technologies into mobile
apps that receive non-contact information to extend
their functionality [23]. In this case, the application
can recognize and analyze the characteristics and
features of an object by pointing the device's camera
at it.
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rating_system)
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[22] https://en.wikipedia.org/wiki/Android_Studio
[23] Ignacio Martinez, Gelayol Golcarenarenj, Qi
Wang, Jose Maria Alcaraz. Smartphone‑based
real‑time object recognition architecture for
portable and constrained systems. Journal of
Real-Time Image Processing, Springer, 2022,
pp.103–115 doi.org/10.1007/s11554-021-
01164-1
International Journal of Electrical Engineering and Computer Science
DOI: 10.37394/232027.2024.6.14
Siranush Sargsyan, Anna Hovakimyan