Application Design of AI Image Recognition in Power System | Zendy

Boyan Jia | Zendy; Zizi Zhang | Zendy; Jingran Jia | Zendy; Hongliang Shen | Zendy; Ding Li-kun | Zendy

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Application Design of AI Image Recognition in Power System

Author(s) -

Boyan Jia,

Zizi Zhang,

Jingran Jia,

Hongliang Shen,

Ding Li-kun

Publication year - 2021

Publication title -

advances in multimedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.278

H-Index - 17

eISSN - 1687-5699

pISSN - 1687-5680

DOI - 10.1155/2021/3998933

Subject(s) - sort , power (physics) , computer science , process (computing) , identification (biology) , image (mathematics) , signal (programming language) , artificial intelligence , operating system , physics , botany , quantum mechanics , biology , information retrieval , programming language

With the continuous development of social economy, more and more attention is paid to the safety of power systems. However, since the power system involves a wide range of areas, how to effectively maintain power safety is extremely important. The AI image recognition technology is introduced to effectively identify the relevant signal lamps, digital instrument panels, switch positions, etc., of power equipment and sort out the specific identification process. Simulation experiments prove that AI image recognition is effective and can support the application of power systems.

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