What does the term "sensor fusion" mean in automation?

The term "sensor fusion" refers to the process of integrating data from multiple sensors to produce a more accurate and comprehensive understanding of the environment or system being monitored. This technique is particularly valuable in automation and robotics, as it allows for the combination of various data types, such as temperature, pressure, and proximity, to enhance decision-making and improve the reliability of the information being used.

By synthesizing data from different sources, sensor fusion can mitigate the limitations or inaccuracies that might arise if relying on a single sensor. For example, one sensor may be affected by noise or interference, while another might provide a clearer signal. Combining their outputs enables a more robust and resilient analysis, leading to better performance of automated systems. This capability is essential in applications such as autonomous vehicles, industrial automation, and smart home systems, where understanding the environment accurately is critical for safe and efficient operation.

This understanding of sensor fusion stands in contrast to the other options provided, which suggest reliance on a single sensor, doing away with sensors altogether, or focusing on cloud connectivity rather than data integration.