Quantitative Analysis in Packed Consumer Goods using Soft Computational Techniques

Santhosh, K V and Navada, Bhagya R. (2015) Quantitative Analysis in Packed Consumer Goods using Soft Computational Techniques. In: International Conference on Emerging Trends in Technology and Applied Science, 2015, Kottayam, India.

[img] PDF
Paper 8.pdf - Published Version
Restricted to Registered users only

Download (803kB) | Request a copy


Demand for school gears are increasing day by day with time. This increase in demand can be fulfilled only by complete utilization of technology. In view of the situation, the proposed work presents a technique for an automated process in fault diagnosis on packets. Proposed work is based on application of image processing techniques for detecting faults in crayon packets. Objectives of the proposed work are to count, number of crayon in each packet and check if its’ as per desired number. Smart camera is used to capture images of crayon packets in packaging line and the data is sent to LabVIEW for processing. Further a program is written using LabVIEW to process the data and detect the faulty packages. The system was subjected to test a nd the results proved satisfactory.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: —Quantitative Analysis, Image Processing, Neural Network, Automation
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 06 Nov 2015 11:52
Last Modified: 06 Nov 2015 11:52
URI: http://eprints.manipal.edu/id/eprint/144502

Actions (login required)

View Item View Item