Vision: Vehicle identification system for tasks automation

• Main Authors: Delas Llagas, Ricky S., Jr., Garcia, Gladys Mae I., Ureta, Jennifer C., Veron, Kyrene Stephanie R.
• Format: text
• Language: English
• Published: Animo Repository 2010
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/10957
• Institution: De La Salle University

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.