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Santhosh, K. V.
- A Non-Contact Technique for Qualitative Analysis of Crayon Packets using Image Processing Techniques
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Authors
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1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal - 576 104, Karnataka, IN
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal - 576 104, Karnataka, IN
Source
Indian Journal of Science and Technology, Vol 8, No 24 (2015), Pagination: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- Soft Computation Technique based Fire Evacuation System
Abstract Views :173 |
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Authors
Affiliations
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal - 576104, Karnataka, IN
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal - 576104, Karnataka, IN
Source
Indian Journal of Science and Technology, Vol 8, No 24 (2015), Pagination: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.- Analysis of Liquid Viscosity by Image Processing Techniques
Abstract Views :179 |
PDF Views:0
Authors
Affiliations
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal University, Manipal, IN
1 Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal University, Manipal, IN