Abstract
The precise recognition of the vehicle determines the efficiency of intelligent transportation systems. Intelligent transportation systems become more effective if it can identify the vehicle. Electronic license plate recognition systems used to solve this problem. Proposed electronic license plate recognition systems model adapted for simple internet protocol video surveillance cameras. An analysis of the internet protocol video surveillance camera‘s processors, operating principle and software created guidelines for the algorithm. According to performance of the internet protocol video surveillance camera formed four efficiency criteria for license plate recognition algorithms. It's performed the experiment with four algorithms to search for a license number plate by different attributes of the license number. The most efficient algorithm was selected by criteria from experimental results. The algorithm is further analyzed and proposed the application model of the internet protocol video surveillance camera. DOI: http://dx.doi.org/10.5755/j01.eee.19.8.5396
Highlights
With constant growth of transport flows and increase in traffic jams, air pollution and noise level in the city increase, fuel is used without any need
In order to implement such system, the following criteria must be taken into consideration: 1) Processor is not fast and it uses 50-60% of its resources for video processing, the method of Vehicle License Plate (VLP) location recognition must be found with as few calculations as possible; 2) VLP recognition method can be performed only by ARM processor, because video processing subsystem only generates data for video codec, and coding processors only encode it; 3) VLP recognition method may scan the image and information on moving object from RAM; 4) Use as few resources of RAM for interim Electronic License Plate Recognition System (ELPRS) results as possible
In order to select the most effective algorithm of IP video surveillance camera, we evaluated each algorithm from 1 to 4 according to the analysed criteria
Summary
With constant growth of transport flows and increase in traffic jams, air pollution and noise level in the city increase, fuel is used without any need. The Electronic License Plate Recognition System (ELPRS) is a closed system, which is able to detect VLP from the received data. At this moment the most effective measure of ITS for the data collection is video surveillance and processing systems [1]. The system uses a powerful processor, with integrated image processing and analysis functions This article proposes another way of realization of the ELPRS. Such a realization will perform: analysis of system of IP video surveillance cameras; VLP location recognition analysis; application and research of VLP location recognition in the IP video surveillance camera
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
