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Sensor Fusion The next generation of detecting devices, based on exclusive Uni-Duo-Trio-Quadri Fusion sensor array technology, is presently being developed by the 24x7offshoring Sensor R&D Center. The scientific method is based on the successive operation of orthogonal technologies in a single detecting instrument. 

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FAQs

The goal of sensor fusion is to provide those improved results with the minimum number of sensors and minimum system complexity for the lowest cost. The previous FAQ in this series reviewed the basics of sensor fusion.
In this category, there are two configurations: one is the fusion of data from independent sensors, and the other is the fusion of data from a single sensor taken at separate instances. This category gives the highest level of completeness of the three types. The third type of sensor fusion is called cooperative.
to merge the data in sensor fusion applications, data scientists need to use an algorithm. Perhaps the most popular algorithm in sensor fusion is known as the Kalman filter. In general, though, there are three levels of sensor fusion that data scientists explore. The output of the sensors requires post-processing, the level of which will vary.
There are two cases of competitive configurations: fusion of data from different sensors; or fusion of data from a single sensor measured at different points in time. A special case of competitive sensor fusion can be used when monitoring critical parameters, called fault-tolerant fusion.