Laser‐based noncontact precision metrology has become indispensable in advanced manufacturing, semiconductor inspection, biomedical engineering, and structural health monitoring. This review critically evaluates the evolution and integration of laser measurement systems with state‐of‐the‐art imaging technologies, emphasizing their roles in achieving submicron accuracy, high scanning speeds, and real‐time adaptability. Foundational techniques such as laser triangulation and interferometry are reassessed in terms of their spatial resolution, susceptibility to ambient noise, and scalability for large or complex surfaces. Emerging optical approaches, namely, adaptive optics (AO), time‐of‐flight (ToF) sensors, confocal microscopy, and digital holography are examined for their capability to enhance depth precision, reduce scattering effects, and compensate for wavefront distortions. The application of quantum metrology introduces novel paradigms in precision measurement, utilizing entangled photon states and quantum correlations to exceed classical sensitivity limits. Building Information Modeling (BIM) integration enables the fusion of geometric data with laser scan outputs, facilitating digital twin development and predictive analytics for structural maintenance. The paper also highlights the rising role of artificial intelligence (AI) and machine learning (ML) in metrology systems, offering solutions for noise filtration, surface anomaly detection, and adaptive calibration. Operational challenges such as thermal drift, environmental vibrations, and data bottlenecks are discussed alongside mitigation strategies including sensor fusion and real‐time digital compensation.
Gunawan et al. (Wed,) studied this question.