An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

Abstract

From the accident news, it is found that the occurrences of traffic accidents every year and the numbers of deaths and injuries have raised continually and have become a specific issue concerned in society in Taiwan. More seriously, the number of traffic accidents is positively increased with the increasing motorized vehicles. Thus, to reduce the incidence of traffic accidents through by some advanced real-time technologies is an important and interesting work. However, some serious problems against traffic safety are facing, such as the low-quality video saved by a camera, low efficiency facilities supported, inefficient management of surveillance resources, and low definition resolution for cameras, which is resulted in a dilemma problem caused from providing evidence-based images to a local authority either for criteria for judgment or basis for improvement. As a big effort to deal with the above defects for constructing a smart city, this paper makes a main purpose to develop an advanced system of intelligent cloud-based transportation vehicle surveillance (called ICTVSS) for license plate identification. This existing identification algorithm was studied and developed from a combination of improved differential algorithm and improved active contour algorithm. Given such a combination, a novel algorithm of dynamic license identification for smart monitoring was fully realized for constructing a well-defined smart city. The experimental results showed good performance and experienced that the proposed algorithm performed well in locating multi-license plate and differential methods, removing image noise of license plate, and processing constant-inconstant light source from complex environment cases, and guaranteed effective license plate identification from the benefit of high resolutions of digital cameras.

Emerging Sensing Technologies in Consumer Electronics

“…In [5], Y.-S. Chen et al presented an advanced ICTVSS (intelligent cloud-based transportation vehicle surveillance) model for real-time vehicle traffic applications [5]. In order to reduce the incidence of traffic accidents through by advanced real-time technologies is proposed to develop an advanced system of ICTVSS for license plate identification in this work [5].…”

“…In [5], Y.-S. Chen et al presented an advanced ICTVSS (intelligent cloud-based transportation vehicle surveillance) model for real-time vehicle traffic applications [5]. In order to reduce the incidence of traffic accidents through by advanced real-time technologies is proposed to develop an advanced system of ICTVSS for license plate identification in this work [5]. The identification algorithm was developed from an improved differential algorithm and active contour algorithm of dynamic license identification for smart monitoring to realize for constructing a well-defined smart city [5].…”

Intelligent System for Vehicles Number Plate Detection and Recognition Using Convolutional Neural Networks

“…Vehicle number plate recognition system (VNPRS) can play a vital role in implementing technologies for smart cities, such as traffic control, smart parking, toll automation, driverless car, air quality monitoring, security, etc. [43,44]. A conceptual framework for integrating VNPRS with the smart city systems is presented in Figure 15.…”

Assessing Resources Management for Sharing Economy in Urban Logistics

“…Real-time information sharing on IoT smart city platforms [23,117,119,120,122,123,126,129,130,136,138,139,145,147,[150][151][152][153][154][155][156] The city (especially local authorities) should focus on building smart environments (with free wireless internet, online parking systems, online trip planning systems for planning routes and the use of means of transport, traffic control, commercial sharing platforms and public platforms. blockchain etc.)…”