Lualhati, Abel James N. <br/><br/>
Pid based green coffee quality sorter / 
by Abel James N. Lualhati and Jhamil B. Mariano. 
 - Indang, Cavite :  Cavite State University- Main Campus,  2019. 
 - xiv, 87 pages :   illustrations ;  28 cm. 
<br/><br/> Thesis (Bachelor of Science in Computer Engineering) Cavite State University. 
<br/><br/>Includes bibliographical references. 
<br/><br/>College of Engineering and Information Technology (CEIT), Department of Computer and Electronics Engineering  College of Engineering and Information Technology (CEIT), Department of Computer and Electronics Engineering 
<br/><br/> LUALHATI, ABEL JAMES N. and MARIANO, JHAMIL B., PM Based Green COffee Quality Sorter. Undergraduate Thesis. Bachelor of Science in Computer Engineering. Cavite State University, Indang, Cavite. June, 2019. Adviser: Ms. Sheryl D. Fenol. <br/>The study was conducted to design a PID based green coffee quality sorter for the farmers and researchers. The project aimed to help the coffee farmers sort and increase the quality of their output in a more effective way. The general objective of the study was to design and develop a PID based green coffee quality sorter. The study specifically aimed to design and construct the algorithm for the controller circuit for the system; design and fabricate the PID based green coffee quality sorter; develop a neural network for the system; and test and evaluate the system through preliminary testing. The materials used in the study were: microcontroller unit, stepper motor, servo motor, switching power supply, acrylic glass, aluminum framework, and USB webcams. The PID based green coffee quality sorter was able to separate defective coffee beans from the good green coffee bean arranged in a linear manner using neural network and image processing. Two (2) webcams were used to take images of both sides of the bean. The quality of the coffee bean was determined by the prediction test of both sides. The device was found to be functional in terms of accuracy with a score of 85%. It can sort 1 kilogram of beans within 2 hours and 45 minutes. The study met its objectives and in order to be used the device efficiently, the speed must be increased and the dataset of the neural network must be increased. The PID based green coffee quality sorter had a total cost of P26.290.00 <br/><br/> 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer engineering<br/>Systems engineering<br/>Coffee sorter
<br/><br/><label>Dewey Class. No.: </label>621.392   / L96 2019