Education, Science, Technology, Innovation and Life
Open Access
Sign In

Artificial Intelligence Information Recognition Management System Based on Image Recognition Technology

Download as PDF

DOI: 10.23977/jaip.2022.050404 | Downloads: 13 | Views: 544


Li Feitao 1, Li Helun 1, Zou Wei 1, Xie Min 1, Li Baolong 1


1 Sichuan Sdrising Information Technology Co., Ltd, Chengdu, China

Corresponding Author

Li Feitao


In order to improve the intelligence and convenience of image recognition technology, the author proposes a research on artificial intelligence information recognition management system based on image recognition technology. The author firstly introduces the principle and design of the system in detail, discusses the system architecture and scheme, the image recognition technology of neural network is analyzed, which has a certain role in promoting the research and application of image recognition. Finally, the PLC control system function is realized, the data management and information sharing realize the unified management of data, and the subsystems are connected in series to eliminate the information island. Strengthening the research on image recognition technology will help to improve its social and economic value, and artificial intelligence-based image recognition technology will also become one of the key technologies necessary in the future.


Image recognition technology, Artificial intelligence, Information recognition management, Neural network


Li Feitao, Li Helun, Zou Wei, Xie Min, Li Baolong, Artificial Intelligence Information Recognition Management System Based on Image Recognition Technology. Journal of Artificial Intelligence Practice (2022) Vol. 5: 22-26. DOI:


[1] Wang, L. L., Jia, L. Q. ,  Chu, F. Q. , &  Li, M. X. . Design of home care system for rural elderly based on artificial intelligence. Journal of Physics: Conference Series, 2021, 1757(1), 012057 (7pp).
[2] Liu, Y., Dong, H. , &  Wang, L. Trampoline motion decomposition method based on deep learning image recognition. Scientific Programming, 2021(9), 1-8.
[3] Chen, R. ,  Wang, M. , &  Lai, Y.  Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network. PLoS ONE, 2020,15(7), e0235783.
[4] Gu, X. ,  Song, H. ,  Chen, J. , &  Wang, Z. A review of research on pig behavior recognition based on image processing. International Core Journal of Engineering, 2020,6(1), 249-254.
[5] Hua, W. ,  Guan, X. , &  Jiang, X. Clinical study on gastroscopy image recognition model based on artificial intelligence in diagnosis of chronic atrophic gastritis. Chinese Journal of Gastroenterology, 2020,25(10), 588-593.
[6] Tsai, V. F. ,  Zhuang, B. ,  Pong, Y. H. ,  Hsieh, J. T. , &  Chang, H. C. Web- and artificial intelligence–based image recognition for sperm motility analysis: verification study. JMIR Medical Informatics, 2020, 8(11), e20031.
[7] Chen, Y. , &  Chen, Y. Research on the application and influence of artificial intelligence technology. Journal of Physics Conference Series, 2021, 1952(4), 042007.
[8] Zhang, J.  Research on digital image processing and recognition technology of weeds in maize seedling stage based on artificial intelligence. Journal of Physics: Conference Series, 2020, 1648(4), 042058 (8pp).
[9] Huang, J. ,  Zhao, D. , &  Lv, B. Application of fuzzy recognition in image information recognition. Journal of Physics: Conference Series, 2021, 1952(2), 022039 (8pp).
[10] Dong, Z. ,  Wei, J. ,  Chen, X. , &  Zheng, P.  Face detection in security monitoring based on artificial intelligence video retrieval technology. IEEE Access2020,, 8(99), 63421-63433.
[11] Zhou, K. , &  Zhang, X. Design of outdoor fire intelligent alarm system based on image recognition. International Journal of Pattern Recognition and Artificial Intelligence, 2020,34(07), 2765-2766.
[12] Ma, B. ,  Nie, S. ,  Ji, M. ,  Song, J. , &  Wang, W. Research and analysis of sports training real-time monitoring system based on mobile artificial intelligence terminal. Wireless Communications and Mobile Computing, 2020, 2020(6), 1-10.
[13] Wang, L. , &  Siddique, A. A. Facial recognition system using lbph face recognizer for anti-theft and surveillance application based on drone technology. Measurement and Control -London- Institute of Measurement and Control-, 2020,53(5), 002029402093234.
[14] Hu, S.  Research on data acquisition algorithms based on image processing and artificial intelligence. International Journal of Pattern Recognition and Artificial Intelligence, 2020, 34(06), 1-13.
[15] Liu, H. ,  Li, Y. , &  Liu, D.  Object detection and recognition system based on computer vision analysis. Journal of Physics Conference Series, 2021,1976(1), 012024.
[16] Ren, X. , Li, C. , Ma, X. , Chen, F. , Wang, H. , & Sharma, A. , et al. Design of multi-information fusion based intelligent electrical fire detection system for green buildings. Sustainability, 2021,13(6), 3405.
[17] Jayakumar, Jayaraj & Chacko, Shanty & Ajay, P. Conceptual Implementation of Artificial Intelligent based E-Mobility Controller in smart city Environment. Wireless Communications and Mobile Computing. 2021. 1-8.
[18] Liu, X., Su, Y.-X., Dong, S.-L., Deng, W.-Y., Zhao, B.-T. "Experimental study on the selective catalytic reduction of NO with C3H6 over Co/Fe/Al2O3/cordierite catalysts", Ranliao Huaxue Xuebao/Journal of Fuel Chemistry and Technology, 2018, 46(6), pp. 743–753
[19] R. Huang, X. Yang, "The application of TiO2 and noble metal nanomaterials in tele materials," Journal of Ceramic Processing Research, 2022, vol. 23, no. 2, pp. 213–220.
[20] Zhang, Q. Relay vibration protection simulation experimental platform based on signal reconstruction of MATLAB software. Nonlinear Engineering, 2021, 10(1), 461-468.

Downloads: 8011
Visits: 210808

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.