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Fast Processing of Optical Fringe Movement in Displacement Sensors Without Using an ADC

Photonic Sensors 2013年第3期3卷 241-245页

作者： Babar HUSSAIN Taj MUHAMMAD Muhammad REHAN Haroon AMAN Muhammad ASLAM Masroor IKRAM M. Yasin Akhtar RAJA National Institute of Lasers and Optronics P. O. 45650 Islamabad Pakistan Pakistan Institute of Engineering and Applied Sciences P. O. 45650 Islamabad Pakistan Department of ECE EPIC Building UNC Charlotte 9201 University City Blvd. Charlotte NC 28223-000

An interferometer based optical sensor for displacement measurement is reported. This method requires quite simple signal processing as well as least electronic components. Referring to this technique, two photodiodes spatially shifted by 90 degrees were used. The output of photodiodes was converted into rectangular signals which were extracted in LabVIEW using the data acquisition card without using an analog to digital converters （ADC）. We have also processed the signals in C＋＋ after acquiring via parallel port. A Michelson interferometer configuration was used to produce linear fringes for the detection of displacements. The displacement less than 100nm could be measured using this technique.

关键词： Fast signal processing optical displacement sensor direction detection Michelson interferometer

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Analog Processing Based Vibration Measurement Technique Using Michelson Interferometer

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Photonic Sensors 2013年第2期3卷 137-143页

作者： Babar HUSSAIN Mushtaq AHMED Ghazanfar HUSSAIN Muhammad SALEEM Muhammad NAWAZ National Institute of Lasers and Optronics 45650 Islamabad Pakistan

A Michelson interferometer based sensor, to monitor the displacement and vibration of a surface, is presented. The interference signals detected in quadrature are processed using analog electronics to find the direction of the motion of a vibrating surface in real-time. The complete instrumentation and signal processing are implemented for the interpretation of the amplitude as well as positive and negative excursion of the vibration cycles. This new technique is simpler as compared to the techniques commonly used in the interferometer based vibration sensors. Using this technique, we have measured mechanical vibrations having a magnitude of the order of nanometers and frequency in the range of 50Hz to 500Hz. By making small changes in the electronic circuit, the technique can be implemented for the extended range of the vibration frequencies and amplitude.

关键词： Vibration sensor displacement sensor Michelson interferometer direction detection analog processing

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Integrated Method of Recognizing Huge Target

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Journal of Beijing Institute of Technology 2001年第4期10卷 423-428页

作者：王文会北京理工大学机电工程学院北京100081

An integrated novel method of recognizing huge target is described that combines some relatively mature image processing techniques such as edge detection, thresholding, morphology, image segmentation and so forth. After thresholding the edge image obtained by using Sobel operator, erosion is firstly used to reduce noise and extrusive pixels; then dilation is used to expand some separated pixels into various regions, after that the image segmentation technique is utilized to distinguish the target region with a criterion. The location of the target is also offered. Each technique adopted herein seems not complicated at all, the experimental results demonstrate the efficiency of the combination of these techniques. It is its high computational speed and remarkable robustness resulting from its simplicity that make the method promise to be applied in practical problems requiring real time processing.

关键词： object recognition edge detection morphology image segmentation direction detection

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direction Detecting System of Indoor Smartphone Users Using BLE in IoT

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Circuits and Systems 2016年第8期7卷 1492-1503页

作者： D. Kothandaraman C. Chellappan Department of Computer Science and Engineering College of Engineering Anna University Chennai India Department of Computer Science and Engineering GKM College of Engineering and Technology Anna University Chennai India

Indoor organization user activity’s (UA) direction detection monitoring system and also emergency prediction are major challenging tasks in the field of the typical body sensor and indoor fixed sensor networks. In this paper, indoor UA based direction detection monitoring system is achieved by the combination of both the orientation sensor and Bluetooth Low Energy (BLE) in user’s smartphones belonging to the Internet of Things (IoT). The orientation sensor senses the actual orientation of the user and BLE transmits the sensed BLE signals to monitoring system using star topology in IoT. In monitoring system, classification algorithm is used to identify the directions of the smartphone users. The emergency situation of the user is also predicted based on signal variation instantly in real time. The user activity’s signals are captured using LabVIEW toolkit then applied to various classification algorithms such asRF—91.42%, Ibk—90.55%, j48— 85.61%, K*—73.54% are the results obtained. An average of 85% was obtained in all the classifi- cation algorithims indicating the consistency and accuracy in detecting the directions of the users. RF was found to be the best among all the classification algorithms. IoT enabled devices have high demand in near coming future, moreover smartphones users increase day by day, hence implementing and maintaining the above said system would be much easier and cheaper compared to other conventional networks.

关键词： Orientation Sensor BLE (Bluetooth Low Energy) IoT (Internet of Things) direction detection

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