fusion techniques

Fusion techniques involve combining data from multiple sources to create a more accurate, comprehensive understanding. Just like blending different ingredients to improve a dish, data fusion integrates various types of information—such as sensors, images, or reports—to enhance decision-making, detection, or analysis. This approach helps filter out noise, fill gaps, and leverage the strengths of each data source, resulting in more reliable and detailed insights. Fusion techniques are used in fields like robotics, surveillance, healthcare, and weather forecasting to improve performance and reliability of systems that rely on complex data.