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Advanced Sensor Integration & Design
Multi-sensor integration is the process of intelligently integrating data and information from multiple sources to 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 encapsulates the means and tools for fusing data originating from different sensor sources. The technology involved uses detection, preprocessing, and data interpretation to derive useful information. This method has emerged as the method of choice for implementing robust information systems that must contend with imperfect data 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 non desctructive inspection (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 involving 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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