Identifikasi Plat Nomor Kendaraan Berbasis Mobile Dengan Metode Learning Vector Quantization

— Owner of car or motorcycle often need some vehicle-related information such as vehicle tax information, the due date and the date of expiry of the vehicle registration tax. Such information should be presented with an easy and fast. In this study, we develop a mobile based application to facilitate users to access information based on the number of vehicles motor vehicle that taken directly using the camera. Number of vehicles identified by the method of Optical Character Recognition (OCR) and Automatic Number Plate Recognition (ANPR). The identification process begins with taking images through a mobile camera. Furthermore, the process of segmentation, feature extraction and character recognition process. To recognize the characters on the number plate of vehicles, the classification process is carried out using Learning Vector Quantization (LVQ). In the test, obtained an average accuracy of 95.32%. Number plate of vehicles that have been identified, sent to the SAMSAT website to obtain information in the form of vehicle tax, tax due dates and other information

The Dynamics of Group Learning

Social constructivism dominates the literature on learning within the UK and underpins the notion of ‘active pedagogy’ in India. In this paper I shall discuss the limitations of social constructivist approaches in describing what happens within a classroom where there are a large number of young people interacting with a teacher and with each other. I will then draw on the field of complexity science to suggest how we might gain a deeper understanding of how learning takes place in groups of pupils than that provided by social constructivism. Following this I intend to draw on psychological and pedagogical perspectives to further develop this understanding of group learning. I shall place a particular emphasis on science education in the paper but the insights are applicable to the teaching of any classroom

Research of Indonesian license plates recognition on moving vehicles

The recognition of the characters in the license plate has been widely studied, but research to recognize the character of the license plate on a moving car is still rarely studied. License plate recognition on a moving car has several difficulties, for example capturing still images on moving images with non-blurred results. In addition, there are also several problems such as environmental disturbances (low lighting levels and heavy rain). In this study, a novel framework for recognizing license plate numbers is proposed that can overcome these problems. The proposed method in this study: detects moving vehicles, judges the existence of moving vehicles, captures moving vehicle images, deblurring images, locates license plates, extracts vertical edges, removes unnecessary edge lines, segments license plate locations, Indonesian license plate cutting character segmenting, character recognition. Experiments were carried out under several conditions: suitable conditions, poor lighting conditions (dawn, evening, and night), and unfavourable weather conditions (heavy rain, moderate rain, and light rain). In the experiment to test the success of the license plate number recognition, it was seen that the proposed method succeeded in recognizing 98.1 % of the total images tested. In unfavorable conditions such as poor lighting or when there are many disturbances such as rain, there is a decrease in the success rate of license plate recognition. Still, the proposed method's experimental results were higher than the method without deblurring by 1.7 %. There is still unsuccessful in recognizing license plates from the whole experiment due to a lot of noise. The noise can occur due to unfavourable environmental conditions such as heavy rain

gPark: Vehicle Parking Management System Using Smart Glass

Recent advances in wearable technologies have opened new avenues for their applications in various fields. This paper presents the design, implementation, and testing results for a vehicle parking management system using smart Glass technology. The management system consists of four major interconnected applications. The most important one, running on the smart Glass, scans the vehicle number plate and extracts the related information in real time. The vehicle information is sent to the remote server for checking of any violation. The server sends the updates back to the Glass that allows the parking attendant to take further actions, if needed. The system was tested in real-life scenarios, and it was found that the detection accuracy up to 75% can be easily achieved with current hardware and software capabilities of the Google Glass

gPark: Vehicle Parking Management System Using Smart Glass

Recent advances in wearable technologies have opened new avenues for their applications in various fields. This paper presents the design, implementation, and testing results for a vehicle parking management system using smart Glass technology. The management system consists of four major interconnected applications. The most important one, running on the smart Glass, scans the vehicle number plate and extracts the related information in real time. The vehicle information is sent to the remote server for checking of any violation. The server sends the updates back to the Glass that allows the parking attendant to take further actions, if needed. The system was tested in real-life scenarios, and it was found that the detection accuracy up to 75% can be easily achieved with current hardware and software capabilities of the Google Glass

Vision-based Detection of Mobile Device Use While Driving

The aim of this study was to explore the feasibility of an automatic vision-based solution to detect drivers using mobile devices while operating their vehicles. The proposed system comprises of modules for vehicle license plate localisation, driver’s face detection and mobile phone interaction. The system were then implemented and systematically evaluated using suitable image datasets. The strengths and weaknesses of individual modules were analysed and further recommendations made to improve the overall system’s performance

Avaliação automática do resultado estético do tratamento conservador do cancro da mama

Tese de mestrado integrado. Engenharia Electrotécnica e de Computadores - Major Telecomunicações. Faculdade de Engenharia. Universidade do Porto. 200