QUALITY ASSESSMENT OF BISCUITS USING COMPUTER VISION

• Main Authors: Archana A. Bade, Manisha P. Dale, K K Jemshid
• Format: Article
• Language: English
• Published: ICT Academy of Tamil Nadu 2016-08-01
• Series: ICTACT Journal on Image and Video Processing
• Subjects: Image Analysis; Image Acquisition; Preprocessing; Feature Extraction Using Segmentation
• Online Access: http://ictactjournals.in/ArticleDetails.aspx?id=2620

As the developments and customer expectations in the high quality foods are increasing day by day, it becomes very essential for the food industries to maintain the quality of the product. Therefore it is necessary to have the quality inspection system for the product before packaging. Automation in the industry gives better inspection speed as compared to the human vision. The automation based on the computer vision is cost effective, flexible and provides one of the best alternatives for more accurate, fast inspection system. Image processing and image analysis are the vital part of the computer vision system. In this paper, we discuss real time quality inspection of the biscuits of premium class using computer vision. It contains the designing of the system, implementing, verifying it and installation of the complete system at the biscuit industry. Overall system contains Image acquisition, Preprocessing, Important feature extraction using segmentation, Color variations and Interpretation and the system hardware.