dip based onlyn control system

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WELCOME

SEMINAR

PRESENTED BY: PRAJEESH V K ROLL NO:67 EIGUIDED BY: ASIF ALI LECTURER IN

EI

DIP BASED ONLINE CONTROL AND MONITORING

SYSTEM

INTRODUCTION Remote control and monitoring Instrumentation support Analog sensors Digital cameras Digital image processing Disadvantages of analog sensors Advantages of DIP

ERRORS IN ANALOG SENSORS

Gross Errors Systematic Errors .Instrumental Errors .Environmental Errors Random Errors

GROSS ERROR Due to human factors Due to computational errors Due to improper selection of

instruments

SYSTEMATIC ERRORS Instrumental Errors Due to changes in the properties of

components Environmental Errors Due to changes in environmental conditions

RANDOM ERRORS Unpredictable Errors Readings vary slightly Cannot be corrected Cannot be explained

ERROR ANALYSIS Arithmetic Error Median Mode Probability Of Errors Normal distribution Probable Error Limiting Error Odds in Specification Propagation of Errors

CHARACTERISTICS OF ANALOG SENSORS

Input Characteristics Transfer Characteristics

INPUT CHARACTERISTICS Type of input and operating range Upper limit Lower limit Loading Effect

TRANSFER CHARACTERISTICS

Transfer Function Error .Scale Error .Dynamic Error .Noise&Drift Response of transducer

FACTORS INFLUENCING THE CHOICE OF TRANSDUCERS

Operating Principle Range,Resolution&Rating Accuracy&Repeatability Input&Output Relationship Time Domain Specifications Loading Effects Sensitivity Electrical Aspects Other Factors

PROPOSED SYSTEM

DISTANCE MATRIX ALGORITHM

Distance Measure:

Euclidian Distance De(p,q)=((X1-X2)2+(Y1-Y2)2)1/2 D4 Distance D4(p,q)=||(X1-X2)+(Y1-Y2)|| D8 Distance D8(p,q)=max(|(X1-X2)+(Y1-Y2)|)

RESULT

IMAGE COMPARISON TABLE

CONCLUSION New Method Reduced Comparison Time Replace the sensors Focused on measurement in control

valves Better results

REFERENCES X. Lu and H. Zhang, "Color Classification Using

Adaptive Dichromatic Model," IEEE Conference on Robotics and Automation

J. U. Cho, S. H. Jin, X. D. Pham, D. Kim, and 1. W. Jeon "FPGA-Based Real-Time Visual Tracking System Using Adaptive Color Histograms," IEEE Conference on Robotics and Biomimetics

 S. Jin, D. Kim, T. C. Pham, and J. W. Jeon, "FPGA Implementation of Real-time Skin Color Detection with Mean based Surface Flattening," ACMISIGDA Symposium on Field Programmable Gate Arrays

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