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Accurate weight measurement is critical in emergency medicine, particularly for the precise administration of medications and treatments. However, traditional methods of weight estimation can be unreliable, especially in time-sensitive or resource-limited environments. This study provides a comprehensive review of the advancements and techniques in body weight estimation, with a focus on modern approaches leveraging contactless sensors, such as 3D cameras, and AI-powered computational models. The research evaluates the accuracy, reliability, and practical applicability of these methods across different contexts, including healthcare, forensic sciences, and emergency response. Additionally, this study identifies the limitations of current methodologies and uncovers gaps in the literature that warrant further investigation. Our findings aim to guide future research efforts and the development of more precise and scalable weight estimation solutions, ultimately enhancing their applicability in a variety of sectors.