Study on the seasoning packets auto-inspection method of instant noodles

Author

Peng Kai ; Zhou Xing-lin ; Ji-guang, Liu ; Hai-yan, Ren

Author_Institution

State Key Lab. of Precision Meas. Technol. & Instrum., Tianjin Univ., Tianjin, China

Volume

1

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

293

Lastpage

297

Abstract

A method was proposed to inspect the seasoning packets of instant noodles on-line after analysis the image of instant noodles. The vision system was built up to capture the image of noodle cake with seasoning packets. Noodle cake was located and salt packets were recognized by method of histogram statistics of brightness in HIS color model, threshold and contour detection. Vegetable and oil packets were inspected by the histogram statistics of Hue. Testing on actual production line, the system has the identification rate of 100%, missed rate of 0, false detection rate of 99%, and the detection speed of better than 20 per minute.

Keywords

food preservation; food products; image colour analysis; inspection; production engineering computing; HIS color model; brightness histogram statistics; image analysis; instant noodle online inspection; noodle cake; oil packets; production line; salt packets; seasoning packet autoinspection method; vegetable packets; Brightness; Cameras; Histograms; Image color analysis; Packaging; Production; HIS color model; histogram statistics; inspect; recognition; threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100026

Filename

6100026