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International Journal of Science, Strategic Management and Technology

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ISSN: 3108-1762 (Online)
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ROLE OF ARTIFICIAL INTELLIGENCE IN OBJECT RECOGNITION

AUTHORS:
Chaitanya Khanna
Jia Arora
Sakshi Gupta
Mentor
Affiliation
School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad,India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Although there are many image processing techniques available, object recognition for computer vision remains a challenging problem because image data is difficult to generalise and consists of cluttered backgrounds, occlusions, varying illumination and scale. In this research, we examine how artificial intelligence can address these centuries-old challenges and enhance its efficacy with cutting-edge machine learning techniques. The methodology features a detailed systematic review and synthesis of the latest AI solutions, specifically deep convolutional neural networks and region-based detectors, as well as attention-based transformer architectures. They are illustrated with context of their evolution, architectural features, and how they are leveraged in various application spaces, providing a good sense of how they obtain desired features and perception of context in each of the application spaces. The results emphasise the superiority of AI-powered systems in object recognition over traditional approaches, highlighting their ability to provide high accuracy, versatility, and real-time performance. However, there are challenges with this for domain generalisation, computational efficiency and interpretability. In conclusion, the field of object recognition has transformed, shifting from rule-based systems to learning-based ones, which is fueled by the rise of AI. However, in the fields of autonomous systems, medical imaging and intelligent surveillance, there is a real need to achieve the potential of AI in 6G systems, which requires sustained improvements in hybrid and efficient architectures

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Khanna, C., Arora, J. & Gupta, S. (2026). Role of Artificial Intelligence in Object Recognition. International Journal of Science, Strategic Management and Technology, 02(6). https://doi.org/10.55041/ijsmt.v2i6.066

Khanna, Chaitanya, et al.. "Role of Artificial Intelligence in Object Recognition." International Journal of Science, Strategic Management and Technology, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i6.066.

Khanna, Chaitanya,Jia Arora, and Sakshi Gupta. "Role of Artificial Intelligence in Object Recognition." International Journal of Science, Strategic Management and Technology 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i6.066.

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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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