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What is Sensor Fusion

Handbook of Research on Big Data Storage and Visualization Techniques
Combination of information from multiple sensors or data sources into an integrated, consistent and homogeneous data model. Sensor fusion may be accomplished by a number of mathematical techniques including some Bayesian techniques.
Published in Chapter:
The Image as Big Data Toolkit: An Application Case Study in Image Analysis, Feature Recognition, and Data Visualization
Kerry E. Koitzsch (Kildane Software Technologies Inc., USA)
DOI: 10.4018/978-1-5225-3142-5.ch018
Abstract
This chapter is a brief introduction to the Image As Big Data Toolkit (IABDT), a Java-based open source framework for performing a variety of distributed image processing and analysis tasks. IABDT has been developed over the last two years in response to the rapid evolution of Big Data architectures and technologies, distributed and image processing systems. This chapter presents an architecture for image analytics that uses Big Data storage and compression methods. A sample implementation of our image analytic architecture called the Image as Big Data Toolkit (IABDT) addresses some of the most frequent challenges experienced by the image analytics developer. Baseline applications developed with IABDT, status of the toolkit and directions for future extension with emphasis on image display, presentation, and reporting case studies are discussed to motivate our design and technology stack choices. Sample applications built using IABDT, as well as future development plans for IABDT are discussed.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Tool Condition Monitoring Using Artificial Neural Network Models
It is a process of combining data from different sensors/sources such that uncertainty in information from one sensor is offset by that from other sensors and more information is available.
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