02956nmm a2200301 a 4500 vtls000100082 KUKTEM 20251117113348.0 170511s2016 my fq d 000 0 eng d THE0005151(Local) 201905131737 hanafiah 201712261058 nazri 201705161130 nazri 201705111023 nazri UMP FKEE .S25 2016 r Bc. CD 10730 Sakinah Mazlan Study on possibility to determinejaundice symptom using vision system [electronic resource] / Sakinah Mazlan Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Electrical & Electronics Engineering Project Paper (Bachelor of Electrical Engineering (Hons.) (Electronics)) -- Universiti Malaysia Pahang – 2016 Jaundice is one of the most common disease affecting neonates worldwide caused by hyperbilirubinaemia in blood, which results in the appearance of yellow discolouration forming on the skin & white eyes (sclera). In the rise in today’s technology, apparently one of the most popular methods used in our country used for detection and confirming the symptoms is by blood sampling and other clinical testing with special equipment. But the main issue here is the blood sampling as it seems to be a bit painful especially for infants who are mostly less than 30 days old. One of the non-invasive methods is by measuring the level of bilirubin in blood using a bilirubinometer. It is a small accurate device which uses spectrophotometry but this small device has a really steep price tag, around $500 - $2000 a unit. So, the aim of this study is creating an affordable non-invasive system to determine whether a person is jaundice patient by detecting the yellow component on the skin using vision system. Throughout the progress, around 19 pictures of various samples (13 jaundiced & 6 healthy) were taken and colour analysis (RGB) was done on each samples in a software (MatLab). From the colour spaces mentioned, the mean values of each component were calculated and used to plot a distribution graph. Then, the graphs were observed to differentiate any obvious trends happening between the healthy and jaundiced samples. From RGB graph, yellow component is extracted from Green - Blue component and all 13 jaundiced samples shows higher yellow component than the healthy samples. A graphical user interface (GUI) is used to give a clearer view and better understanding for the audience. Item in pdf format Faculty of Electrical & Electronics Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/25802 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKEE .S25 2016 r Bc. | CD 10730 0000117746 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 7365 7371 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5020*5200*5380*6100*6500*6501*8560*9992