y Micro sensors and smart sensors Successful application
of a sensor depends on sensor performance, cost and reliability. With the concept of input and output, one can begin to understand how sensors play a critical role in both closed and open loops. . �The term sensor some times is used instead of the term detector, primary element or transducer.
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This Site fusion and integration of vision, tactile, thermal, range, laser radar, and forward looking infrared sensors play a very important role for robotic system. Reference �Ren. y Data fusion techniques combine data from multiplesensors, and related information from associated databases. �Fault detection has become a critical aspect of advanced fusion system design.
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Copyright 2022 IEEE – All rights reserved. Cont. �Kevin Hartwig, “Sensors, Principles”, International Encycloprdia of Robotics Application and Automation, Vol 4. �A sensor model represents the uncertainty and error in the data from each sensor and provides a measure of its quality that can be used by the subsequent integration functions.
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�Successful application of sensor depends on sensor performance, cost and reliability. This is defined as the output of the
sensor at zero input. �Data fusion techniques combine data from multiple sensors, and related information from associated databases. � There are many innovative methods have been accomplished. �Automated manufacturing is essentially the procedure of removing human element as possible from the manufacturing process. Sensor Principle A good sensor obeys the following rules: �Is sensitive to the measured property �Is insensitive to any other property �Does not influence the measured property Sensors can be classified into two categories: �Contact �Noncontact Properties of Sensor �Ideal Sensor � Appropriate sensitivity and selectivity.
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This can be showed by bode
plot. �Some directions for future research in MFI target micro sensors and adaptive fusion techniques. � High signal to noise ratio. Sensor Its evolutiony A sensor is a device that responds
to some externalstimuli and then provides some useful output.
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y lower weight and greater portability y
lower manufacturing cost and fewer materials y wider range of
application. y Ex: pixel level fusion can be used to improve the performance
of many image processing tasks like segmentation ,Applicationy Robotics :Robots with multisensor fusion and
integration enhance their flexibility and productivity in
industrial application such as material handling, part fabrication,
inspection and assembly. Multisensor fusion and integration refers to the combination of sensory data from multiple sensors to provide more accurate and reliable information. �The results of sensory processing functions serve as inputs to the world model.
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Multi Sensor Fusion Integration (MFI)y Multi sensor fusion
and integration refers to thecombination of sensory data from multiple sensors to provide
more accurate and reliable information. This is defined as the output of the sensor at zero input. Rahimi and P.
inferences than could be achieved by the use of a single sensor
alone.
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y Successful application of sensor performance,
cost and reliability. A Hancock, Sensors, Integration ,International Encyclopedia of Robotics application helpful hints Vol 6. �Non-ideal Sensor � If the output signal is not zero when the measured property is zero, the sensor has an offset or bias.
Multi Sensor Fusion and Integration Presented by: Kumar Magi.
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(2MM07EC016)Contentsy Introduction y Definition y Sensor Its Evolution
y Sensor Principle y Multi Sensor Fusion Integration y
Application y Feature Aspects y Conclusion y ReferenceIntroductiony Sensor is a device that detects or senses the
value orchanges of value of the variable being measured. Without the feedback from the environment that sensors provide, the system has no data or reference points, and description no way of understanding what is right or wrong g with its various elements. �To achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor alone. Multi Sensor Fusion Integration (MFI) �Multi Sensor Fusion �The fusion of data or information from multiple sensors or a single sensor over time can takes place at different levels of representation. Cont.
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Rahimi and P. Cont. Conty Sensors are so important in automated manufacturingparticularly in robotics. .