Automated guided vehicle object sorter using color recognition

Date

11-2006

Degree

Bachelor of Science in Applied Physics

College

College of Arts and Sciences (CAS)

Adviser/Committee Chair

Nelio C. Altoveros

Abstract

An automated guided vehicle that can sort objects using color recognition was designed and constructed. The AGV aims to navigate through line following and to identify color of objects to be picked up from the track ends. The objects would then be sorted according to its color and placed to its proper bin. Status of the mission is displayed on the LCD of the vehicle. The mobile robot would follow the line tracks and go to track ends. It uses three photo detectors as means of identifying the surface it is traveling on- which could be black or white. Three track ends were present on the whole track. At each end is a colored box with dimensions of 5 cm x 5cm x 5cm. The robot would then pick it up using its robotic claw and place it on its respective bin. Three color sensors were integrated on the system to enable the AGV to identify the color of each box. The robot would navigate the whole track until all three boxes are placed on its bin. The AGV was tested on a 173cm x 101.5 cm illustration board with line tracks with a width of 3cm. Test results showed that the mobile robot's line following and sorting ability was good. The AGV had an average of 66.67% accuracy in sorting objects. The average time it took to sort all boxes successfully was 8.95 minutes. Some errors were also made by the AGV wherein it got out of track and placed a box in a wrong bin. These errors were due to the ambient light disturbance. Nonetheless, the AGV was able to complete more missions than fail them.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

Thesis

Document Type

Thesis

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