000			02042nam a2200253 a 4500
001			vtls000055099
003			KUKTEM
005			20251114204436.0
008			110726t2010 my a f m 000 0 eng d
020			_aTHE0005975(Local)
039		9	_a201905141629 _baida _y201107261522 _zida
040			_aUMP
090			_aTA1637 .N36 2010 rs Bc.
100	1		_aNam, Zhen Kai
245	1	0	_aQuality inspection system for canned pineapple / _cNam Zhen Kai
246	3		_aQuality inspection system for canned pineapple _h[computer file]
260			_aKuantan, Pahang : _bUMP, _c2010
300			_axi, 65 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
504			_aBibliography : p. 59-60
520	3		_aThe color image processing plays an important role in many of the applications nowadays. The variety image processing technique and the excellent performance is enhancing the human life to become more qualitative. This Quality Inspection System is mainly concern on the software development with MATLAB. The Quality Inspection System is helping LPNM to verify the quality of the cans of pineapple of the factory. It is more to manage quality control and health regulation at registered pineapple factory. The cans of pineapple will pick randomly to do the quality test. This system will scan and detect the yellowish of the pineapple in the cans via camera. The system will pass and certify only if the yellowish of the pineapple pass the standard of LPNM. After pass through all the testing, LPNM will certify and allow the cans of pineapple export to other countries. Through the final year project, it can be concluded that image processing technique can be implemented to detect grades for canned pineapple. The Quality Inspection System able to display the grades through a pop up window
650		0	_aImage processing
999			_aVIRTUA40 _c2125 _d2131
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*9992