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Advanced Sensor Integration & Design
Multi-sensor integration is the process of intelligently integrating data and information from multiple sources in order to derive synthesized information that will facilitate decision making. The application of information fusion in multi-sensor data integration is referred to as “data fusion.” Multi-sensor data fusion involves a formal framework that expresses the means and tools for fusing data originating from different sensor sources, and for exploiting the synergy of this fusion in order to obtain information whose quality cannot be achieved otherwise. Multi-sensor fusion technology uses detection, preprocessing, fusion, and data interpretation to derive useful information. This method has emerged as the method of choice for implementing robust systems that can handle imperfect inputs.
Sensor fusion has application in a wide variety of fields including artificial neural networks, artificial intelligence, and pattern recognition. The effective implementation multi-sensor data integration requires a team with expertise in NDI, multi-sensor data fusion and modeling using advanced signal and image processing techniques, Artificial Neural Networks (ANN), fuzzy logic, and wavelets. KBSI has successfully completed a number of initiatives on sensor analysis, image analysis, fusion, multi-sensor and multi-target tracking, neural networks, detection of objects in images, and data mining (rule association, statistical analysis, clustering, etc.).
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