Advancements and Challenges in 3D Scanning

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Abstract
3D scanning has become an essential technology in modern engineering, enabling precise digital replication of physical object across various industries. This paper provides a comprehensive review of 3D scanning applications, highlighting its role in reverse engineering, quality control, additive manufacturing, and healthcare. The study explores different scanning techniques, including structured light scanning, laser triangulation, photogrammetry and coordinate measuring machines (CMMs), emphasizing their strengths and limitations. Additionally, the paper examines the integration of 3D scanning with industry 4.0, advancement in AI-driven scanning, and future technologies trends. While 3D scanning has revolutionized sectors like aerospace, automotive and medicine, challenges such as high costs, data processing complexities, and materials constraints persist. This review aims to provide insights into the evolution, challenges, and prospects of 3D scanning, offering valuable information for researchers and industry professionals.

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