Vision: Vehicle identification system for tasks automation
Date of Publication
2010
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Nelson Marcos
Defense Panel Member
Arnulfo Azcarraga
Salvador Florante
Abstract/Summary
Vehicle identification systems are automated systems that are used to perform traffic control tasks with the aim of reducing manpower. Different approaches to these systems include license plate recognition, vehicle type classification, color recognition, and make/made model recognition, to name a few. Current implementations of these approaches achieve high success rates. However, in the absence of the required attribute, vehicle identification is not possible. This research aims to address this limitation by integrating different approaches to vehicle identification. This involves studying existing algorithms and systems performing object detection and the aforementioned approaches.
Abstract Format
html
Language
English
Format
Accession Number
TU18543
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1v. various foliations : illustrations (some colored) ; 28 cm.
Recommended Citation
Delas Llagas, R. S., Garcia, G. I., Ureta, J. C., & Veron, K. R. (2010). Vision: Vehicle identification system for tasks automation. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/10957
