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Decoding Visual Brand Identity Through Computer Vision: AI-Driven Insights for Modern Branding
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Author(s): Md Mehedi Hasan Emon (American International University-Bangladesh, Bangladesh)and Tahsina Khan (Bangladesh University of Professionals, Bangladesh)
Copyright: 2026
Pages: 34
Source title:
AI, Machine Learning, and Image Processing in Market Research and Branding
Source Author(s)/Editor(s): Md Faiz Ahmad (SRM University, Amaravati, India), Mudassir Rafi (King Khalid University, Saudi Arabia)and Mohd Danish Kirmani (IILM University, Greater Noida, India)
DOI: 10.4018/979-8-3373-4506-2.ch002
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Abstract
This chapter explores the transformative role of computer vision in decoding and analyzing visual brand identity within today's visually driven marketplace. It highlights how AI-powered techniques such as logo detection, color palette extraction recognition enable marketers to objectively measure and manage the core visual elements that shape brand perception. By integrating machine learning and image processing, brands can achieve greater consistency, track competitive positioning, and better understand consumer responses across digital platforms. The chapter also addresses key challenges including data variability, cultural nuances, and ethical considerations, while exploring future directions like multimodal AI and real-time brand monitoring. Through a blend of theoretical insights and practical case studies, this work offers a comprehensive perspective on how AI-driven visual analysis is redefining branding strategies, providing valuable implications for academics and marketing professionals aiming to leverage emerging technologies to strengthen brand identity and engagement.
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