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Author Sharma, Abha ♦ Arora, Ha
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Pharmaceutical Capsule Using Neural Network ♦ Reliable Inspection ♦ Environmental Condition ♦ High Throughput ♦ Harris Algorithm ♦ Quality Consideration ♦ Recent Year ♦ Sophisticated Mechanical Fixture ♦ Development Time ♦ Various Element ♦ Sigma Value ♦ Indian Pharmaceutical Industry ♦ Window Size ♦ Neural Network ♦ Interest Point
Abstract Abstract—The Indian pharmaceutical industry has flourished tremendously in recent years. But, due to diverse environmental conditions the quality of capsules are prone to defects. We need to identify and classify these defects for high throughput, decreased development time and reliable inspection. Various elements that can come under quality considerations are; shape, size, appearance, color, surface, texture, taste, odor. In this research we have implemented Harris Algorithm which used to identify defects and mark the interest point by adjusting thresholding, window size, and sigma values. Neural network is used for classification of these defects. The proposed method is easy to integrate and it will also eliminate the need of sophisticated mechanical fixtures for testing these capsules.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study