K. V. Santhosh ¹, Bhagya R. Navada ¹

Affiliations
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal - 576 104, Karnataka, IN

Abstract

Packaging plays a vital role in protection of materials, along with providing information about the product. But many a times it is difficult to identify the quality of product inside the packet. Proposed work discusses a technique to identify the quality of such packed products. Objectives of the proposed work are to count number of crayon in each packet and check if its’ as per desired number using the techniques of image processing. A camera is used to capture images of crayon packets in the production line packaging section. On capturing the images it is processed online using LabVIEW platform. Image processing algorithms like pattern recognition, edge detection and center of mass to compute the quantified data of the image acquired. Neural network algorithm is employed to detect the faulty packages as also to display the position of missing crayon. The system once designed is subjected to test and the results obtained proved successful implementation of set objectives.

Keywords

Automation, Image Processing, Qualitative Analysis

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K. V. Santhosh ¹, Preeti Mohanty ¹

Affiliations
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal - 576104, Karnataka, IN

Abstract

Occurrence of fire is an unpredictable activity needing very high attention. Early response for fire may lead to less damage of life and property. In this paper a work is proposed for evacuating the people to a safe point once fire accident occurs. The objective of the proposed work is to process the data acquired from smoke and temperature sensor to indicate the direction for movement of people. Computational technique is used to collect data from sensors and display safest path for people to evacuate from the building. Artificial Neural Network (ANN) is trained using particle swarm optimization to produce evacuation information. To test working of proposed technique it is subjected to several test cases, results obtained proves successful implementation of proposed work.

Keywords

Evacuation, Fire Safety, LabVIEW, Soft Computing.

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K. V. Santhosh ¹, Vighnesh Shenoy ¹

Affiliations
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal University, Manipal, IN

Abstract

Objective: In this paper, a technique is proposed for measurement of viscosity using the principle of dispersion of incident light with variation of liquid viscosity. The objective of the proposed technique is to design a non contact technique to analyze the characteristics of dispersed image using image processing for the light incident on liquid whose viscosity is to be measured. Methods: A camera is used to capture the background image of the refracted image. This captured image is processed by techniques like thresholding, filtering, and histogram to arrive at a quantified relation between viscosity and histogram values. To establish the relation an artificial neural network model is designed. Proposed neural network is trained by Levenburg Marquardt Algorithm, once trained it is tested with the real time system conditions. Findings: Once the neural network is designed, tests are conducted. Several samples of liquid are used with varying viscosity. From the obtained results it is clear that the proposed technique is able to measure viscosity accurately with a ischolar_main mean percentage of error 2.01%. Application: From the obtained results it is clear that the proposed viscosity measurement technique can be used for measurement of liquid viscosity, even in dynamic flow conditions.

Keywords

Image Processing, LabVIEW, Liquid Viscosity, Refraction.

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