A Review on the Impact of AI in Computer Graphics Considering IoTs
DOI:
https://doi.org/10.55677/csrb/02-V02I04Y2025Keywords:
Artificial Intelligence (AI), Computer Graphics, Internet of Things (IoT), Generative Models for Graphics, Real-Time Graphics Rendering, Augmented Reality (AR) Applications, Virtual Reality (VR) Environments.Abstract
Integrating Artificial Intelligence (AI) into computer graphics, combined with the Internet of Things (IoT), reshapes the landscape of visual content creation, processing, and application across diverse industries. AI-driven advancements in generative models, real-time rendering, and automated design tools enhance creativity, scalability, and efficiency. Simultaneously, IoT broadens the scope of computer graphics by delivering real-time, context-aware data from connected devices, enabling dynamic and interactive visualizations. This study investigates the profound impact of AI and IoT convergence on computer graphics. Emerging technologies, including augmented reality (AR) and virtual reality (VR), demonstrate the synergistic potential of AI and IoT in creating immersive, realtime environments for training simulations, urban planning, and interactive entertainment. Furthermore, IoT-enabled devices, such as smart home systems and wearables, leverage AI-enhanced graphics tools to deliver high-fidelity, adaptive visual interfaces. The findings suggest that integrating AI and IoT in computer graphics offers transformative possibilities for creating adaptive, interactive, and intelligent visual systems. However, addressing ethical concerns and promoting sustainable practices remain essential to ensuring equitable access and responsible utilization. The study addresses key challenges, including computational demands, data privacy, and ethical considerations, proposing solutions such as cloud-based resources, decentralized data systems, and AI-driven bias detection mechanisms. Finally, this paper emphasized the need for interdisciplinary collaboration among technologists, designers, and policymakers to unlock the full potential of AI and computer graphics integration with IoT while mitigating associated challenges.
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