This paper is published in Volume-7, Issue-4, 2021
Area
Image Processing
Author
Kaushik T. S., Chandan Prasad, Prajwal V., Dr. Manjula A. V.
Org/Univ
NIE Institute of Technology, Anagahalli, Karnataka, India
Pub. Date
09 August, 2021
Paper ID
V7I4-1717
Publisher
Keywords
Template Matching, Feature Descriptors, Feature Matching

Citationsacebook

IEEE
Kaushik T. S., Chandan Prasad, Prajwal V., Dr. Manjula A. V.. Anomaly detection in pharmaceutical pills using image processing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kaushik T. S., Chandan Prasad, Prajwal V., Dr. Manjula A. V. (2021). Anomaly detection in pharmaceutical pills using image processing. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Kaushik T. S., Chandan Prasad, Prajwal V., Dr. Manjula A. V.. "Anomaly detection in pharmaceutical pills using image processing." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

There are various kinds of technologies available in the market for categorizing and packaging in the production line. Our project here discusses various image processing techniques and their shortcomings in the process. Our aim is to categorize the defective tablets based on their color shape missing tablets, color changes due to oxidation. The images of the tablet strip are captured using the camera. The features are extracted for a defect-less tablet strip. The input image is compared with the reference image present in the database, the amount of features that can be compared with the pre-loaded reference image is compared for a threshold value and is discarded if found to be less by separating them, and rest are allowed to pass for packaging.