A Comparative Analysis of Image Processing Models for Digital Signage Applications

The study investigates the integration of Artificial Intelligence (AI) with digital signage, emphasizing the role of AI-driven image analysis in enhancing its effectiveness. It explores three core areas: demographics analysis, emotion detection, and attention tracking, all crucial for optimizing digital signage impact. Through a comprehensive literature review, we identify emerging trends and advancements in the fusion of image analysis with digital signage. Moreover, we present an overview of available image analysis tools suitable for addressing the challenges of digital signage. To facilitate decision-making, we conduct a formal comparison of these image analysis models, delineating their strengths and weaknesses within the digital signage context. In conclusion, this paper illuminates the potential of AI-powered image analysis in elevating the effectiveness of digital signage. It serves as a practical guide for stakeholders interested in implementing image analysis solutions in this domain and proposes avenues for future research.