- 계란 등급판정을 위한 파각란 자동 검사 시스템
- ㆍ 저자명
- 최완규,이강진,손재룡,강석원,이호영,Choi. Wan-Kyu,Lee. Kang-Jin,Son. Jae-Ryong,Kang. Suk-Won,Lee. Ho-Young
- ㆍ 간행물명
- 바이오시스템공학
- ㆍ 권/호정보
- 2008년|33권 5호|pp.348-354 (7 pages)
- ㆍ 발행정보
- 한국농업기계학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
Egg grading is determined by exterior and interior quality. Among the evaluation methods for the egg quality, a candling method is common to identify eggs with cracked shells and interior defects. But this method is time-consuming and laborious. In addition, practically, it is challenging to detect hairline and micro cracks. In this study, an on-line inspection system based on acoustic resonance frequency analysis was developed to detect hairline cracks on eggshells. A roller conveyor was used to transfer eggs along one lane to the impact position where each of eggs rotated by the roller was excited with an impact device at four different locations on the eggshell equator. The impact device was consisted of a plastic hammer and a rotary solenoid. The acoustic response of the egg to the impact was measured with a small condenser microphone at the same position as the impact device was installed. Two acoustic parameters, correlation coefficient for normalized power spectra and standard deviation of peak resonant frequencies, were used to detect cracked eggs. Intact eggs showed relatively high correlations among the four normalized power spectra and low standard deviations of the four peak resonant frequencies. On the other hand, cracked eggs showed low correlations and high standard deviations as compared to the intact. This method allowed a crack detection rate of 97.6%.